CN106599442A - Recognition and evaluation method and device for physical properties of while-drilling reservoir based on comprehensive logging parameters - Google Patents

Abstract

The invention discloses a method and device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive mud logging parameters, and relates to the field of petroleum exploration and development, including the first step of collecting comprehensive mud logging engineering data; the second step of calculating the power consumption of the drill E _i ; the third step is to calculate the power consumption W _H of the vertical drill bit and the power consumption W _L of the tangential drill bit when the drill bit is working; the fourth step is to calculate the trend value of the power consumption of the drill bit ; The fifth step is to calculate the working power consumption ratio W _bi of the drill bit; the sixth step is to calculate the overall sample standard deviation σ of the working power consumption ratio W _bi of the drill bit; the seventh step is to calculate the intersection area S to judge the porosity of the reservoir; the eighth step The first step is to classify the physical properties of the reservoir; and a device for identifying and evaluating the physical properties of the reservoir while drilling based on comprehensive logging parameters. Solve the problems of time lag, poor continuity, and poor accuracy in the identification and evaluation of physical properties after drilling.

Description

Reservoir physical property identification and evaluation method and device while drilling based on comprehensive logging parameters

technical field

The invention relates to the field of petroleum exploration and development, in particular to a method and device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive mud logging parameters.

Background technique

The energy required for the drill bit to break the rock is related to the strength of the rock. The drill bit works to achieve rock-breaking drilling; R.Teale proposed the concept of mechanical specific energy (drill bit work consumption) in the process of drilling rock, that is, the drill bit under the action of drilling pressure and torque The work done by crushing a unit volume of rock (the mechanical energy required). This concept reflects the energy required to break a unit volume of rock. It reflects the rock-breaking efficiency of the drill bit, so it provides a method to evaluate the drilling efficiency for drilling. The larger the specific energy, the lower the rock-breaking efficiency of the drill bit, and the adaptability of the drill bit to the formation. The worse it is, the drilling parameters need to be optimized.

The energy required for the drill bit to break the rock is related to the strength of the rock, so the amount of work done by the drill bit is positively correlated with the physical properties of the formation (porosity, permeability), which can provide a basis for the evaluation of the physical properties of the formation. The greater the power consumption of the drill bit, the stronger the formation strength Larger, the worse the physical condition, and vice versa. Existing formation physical property evaluation technologies are all based on physical property evaluation after drilling, so there is a gap in the timeliness of physical property evaluation and while drilling, affected by drilling cycle and other engineering factors, especially in carbonate formations, In volcanic rock formations and fractured mudstone reservoirs, there is a serious lag in post-drilling evaluation.

Contents of the invention

In view of this, the present invention provides a method and device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive logging parameters, which can effectively evaluate the porosity of reservoirs by using the power consumption of drill bits while drilling Classification of physical properties to solve the problems of time lag, poor continuity and poor accuracy of physical property identification and evaluation after drilling.

In the first aspect, the present invention provides a method for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive logging parameters, which is characterized in that it includes:

The first step is to collect comprehensive logging engineering data;

The comprehensive mud logging engineering data is collected through the comprehensive mud logging instrument, the drilling pressure Pi, the drill bit torque T, the drill bit speed _n , the ROP v, the drill bit diameter d _B and the drilling time Z data of the drill bit per footage of 0.1m;

The second step is to calculate the power consumption E _i of the drill bit;

The power consumption E _i of the drill bit is calculated through the classical mechanical specific energy model to calculate the power consumption E _i of the drill bit per 0.1m;

The third step is to calculate the functional consumption W _H of the vertical drill bit and the functional consumption W _L of the tangential drill bit when the drill bit works;

The fourth step is to calculate the power consumption trend value of the drill bit

The calculation of drill bit power consumption trend value is the average value of energy consumption E _i of m drill bits, m∈[3,10], j=1, 2, 3, 4;

The fifth step is to calculate the power consumption ratio W _bi of the drill bit;

The power consumption ratio W _bi of the drill bit is the power consumption E _i of the drill bit and the trend value of the power consumption of the drill bit The ratio of W _bi ∈ (0,1);

The sixth step is to calculate the overall sample standard deviation σ of the power consumption ratio W _bi of the drill bit;

The seventh step is to calculate the intersection area S and determine the porosity of the reservoir;

The intersection area S is obtained by integrating the work power consumption W _H of the vertical drill bit and the work power consumption W _L of the tangential drill bit to the depth h of the drill bit:

Where h is the depth of the drill bit, h ₂ >h ₁ ;

In the eighth step, the physical properties of the reservoir are classified;

The method for judging the physical property classification of the reservoir is as follows:

First judgment:

Record the working power consumption ratio _Wbi of the drill bit as the first sample _Wbj , calculate the average value of the first sample _Wbj , and record it as the first average value

said And W _bj <1-σ, then it is judged as a reservoir section, which satisfies the And W _bj with W _bj <1-σ is recorded as the second sub-sample W _cj , and enters the second judgment, otherwise it is a non-reservoir section, and the judgment is stopped;

Second judgment:

Calculate the average value of the second sub-sample W _cj , denoted as the second average value

said And 1-2σ<W _cj <1-σ, satisfy And all values W _cj of 1-2σ<W _cj <1-σ are recorded as the third sub-sample W _dj , and enter the third judgment, otherwise it is judged as a secondary segment, and the judgment is stopped;

The third judgment:

Calculate the average value of the third sub-sample W _dj , denoted as the third average

said And 1-3σ<W _dj <1-2σ, satisfying the And all values W _dj of 1-3σ<W _dj <1-2σ are recorded as the fourth sub-sample W _ej , and enter the fourth judgment, otherwise it is judged as an intermediate stage, and the judgment is stopped;

Fourth judgment:

Calculate the average value of the fourth sub-sample W _ej , denoted as the fourth average

said And if W _ej <1-3σ, it is judged as an excellent segment, and the judgment is stopped; otherwise, it is judged as a good segment, and the judgment is stopped.

Preferably, the classical mechanical specific energy model of the described method for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive logging parameters is:

Preferably, the calculation formulas of the vertical drill bit power consumption W _H and the tangential drill bit power consumption W _L of the described method for identifying and evaluating the physical properties of the reservoir while drilling based on comprehensive mud logging parameters are as follows;

Among them, a is the formation experience data of the maximum WOB of the same drill bit; b is the formation experience data of the maximum speed of the same drill bit.

Preferably, the power consumption E _i of the drill bit in the method for identifying and evaluating the physical properties of reservoirs while drilling based on comprehensive mud logging parameters is filtered by the five-point bell method, and the filtered formula is E _i ^* =β(E _i-2 +E _i+2 )+γ(E _i-1 +E _i+1 )+εE _i ;

Wherein, the value of β is 0.11, the value of γ is 0.24, and the value of ε is 0.3.

Preferably, the calculation of the drill bit power consumption trend value of the described method for identifying and evaluating the physical properties of the reservoir while drilling based on comprehensive logging parameters The method adopts the moving average method;

in,

m∈[3,10],j=2,3,4.

Preferably, the value of m is 5 in the method for identifying and evaluating the physical properties of reservoirs while drilling based on comprehensive mud logging parameters.

In a second aspect, the present invention provides a device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive mud logging parameters, including: a comprehensive mud logging engineering data acquisition device, and the comprehensive mud logging engineering data acquisition device is respectively connected to the drill bit for power consumption When the E _i calculating device is connected with the drill bit _working power consumption W _H of the vertical drill bit and the calculating device of the tangential drilling bit working power consumption W _L ; The computing device is connected to the trend value of the power consumption of the drill bit The calculation device is connected with the calculating device of the working power consumption ratio W _bi of the drill bit, and the calculating device of the working power consumption ratio W _bi of the drilling bit is connected with the reservoir physical property grading device; when the drilling bit works, the working power consumption W H of the vertical drill bit and the power consumption W _H of the tangential drill bit The working power consumption W _L calculation device is connected with the intersection area S calculation and the reservoir porosity judgment device;

The integrated mud logging engineering data acquisition device collects the comprehensive mud logging engineering data of the drill bit per footage of 0.1m, including the pressure on bit Pi, the bit torque T, the bit speed _n , the ROP v, the bit diameter d _B and the drilling time Z;

The drill bit working power consumption E _i calculation device is used to calculate the drill bit working power consumption E _i per 0.1m;

The power consumption trend value of the drill bit The calculation device is used to calculate the average value of the power consumption E _i of the m drill bits to obtain the trend value of the power consumption of the drill bit m∈[3,10],j=1,2,3,4;

The working power consumption ratio W _bi calculation device of the drill bit is used to calculate the working power consumption E _i of the drill bit and the trend value of the working power consumption of the drill bit The ratio of the working power consumption of the drill bit is obtained W _b ;

The intersection area S calculation and reservoir porosity size judging device is used to calculate the intersection area S, and judge the reservoir porosity size according to the intersection area S, wherein the intersection area S uses the vertical drill bit to perform power consumption The integration of W _H and the power consumption W _L of the tangential drill bit to the depth h of the drill bit is obtained;

The method for judging the physical property classification of the reservoir by the reservoir physical property classification device is as follows:

The first judgment device:

Record the working power consumption ratio _Wbi of the drill bit as the first sample _Wbj , calculate the average value of the first sample _Wbj , and record it as the first average value

said And W _bj <1-σ, then it is judged as a reservoir section, which satisfies the And W _bj with W _bj <1-σ is recorded as the second sub-sample W _cj , and enters the second judgment device, otherwise it is a non-reservoir section, and the judgment is stopped;

The second judgment device:

Calculate the average value of the second sub-sample W _cj , denoted as the second average value

said And 1-2σ<W _cj <1-σ, satisfy And all values W _cj of 1-2σ<W _cj <1-σ are recorded as the third sub-sample W _dj , and enter the third judgment device, otherwise it is judged as a secondary stage, and the judgment is stopped;

The third judgment device:

Calculate the average value of the third sub-sample W _dj , denoted as the third average

said And 1-3σ<W _dj <1-2σ, satisfying the And all values W _dj of 1-3σ<W _dj <1-2σ are recorded as the fourth sub-sample W _ej , and enter the fourth judgment device, otherwise it is judged as an intermediate stage, and the judgment is stopped;

The fourth judging device:

Calculate the average value of the fourth sub-sample W _ej , denoted as the fourth average

said And if W _ej <1-3σ, it is judged as an excellent segment, and the judgment is stopped; otherwise, it is judged as a good segment, and the judgment is stopped.

Preferably, the calculation device for the energy consumption E _i of the drill adopts a classical mechanical specific energy model for calculation;

Wherein, the classical mechanical specific energy model is:

Preferably, when the drill bit is working, the calculation formulas of the vertical drill bit power consumption W _H and the tangential drill bit power consumption W _L calculation device are respectively:

Among them, a is the formation experience data of the maximum WOB of the same drill bit; b is the formation experience data of the maximum speed of the same drill bit.

Preferably, the calculation device for the power consumption E _i of the drill adopts a five-point bell method for filtering, and the filtered formula is E _i ^* = β(E _i-2 +E _i+2 )+γ(E _{i -1} +E _i+1 )+εE _i ;

Wherein, the value of β is 0.11, the value of γ is 0.24, and the value of ε is 0.3;

Preferably, the drill bit acts as a power consumption trend point The calculation device adopts the sliding average method to calculate;

in, m∈[3,10], j=1, 2, 3, 4, . . .

The present invention has following beneficial effects:

The invention provides a method and device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive logging parameters, which can calculate the intersection area S of vertical and tangential drill bit work while drilling, and use the intersection area S to effectively evaluate the reservoir. At the same time, the physical properties of the reservoir can be classified by using the obtained drill bit work parameters, so as to solve the problems of time lag in physical property evaluation of well logging, poor continuity and poor accuracy of physical property evaluation of mud logging, etc. The data provide a feasible solution, which makes up for the distortion of physical property evaluation caused by factors such as borehole collapse in the post-drilling evaluation of well logging.

Description of drawings

Through the following description of the embodiments of the present invention with reference to the accompanying drawings, the above and other objects, features and advantages of the present invention are more clear, in the legend:

Fig. 1 is the block flow diagram of the method for identifying and evaluating reservoir physical properties of the present invention;

Fig. 2 is the schematic flow chart of judging reservoir porosity size in the present invention;

Fig. 3 is a schematic flow chart of judging the physical property classification of the reservoir in the present invention;

Fig. 4 is a schematic block diagram of the reservoir physical property identification and evaluation device of the present invention;

Fig. 5 is a schematic flowchart of the device for judging reservoirs and classifying physical properties of the present invention.

detailed description

The present invention is described below based on examples, but it should be noted that the present invention is not limited to these examples. In the following detailed description of the invention, some specific details are set forth in detail. However, the present invention can be fully understood by those skilled in the art even for parts not described in detail.

In addition, those of ordinary skill in the art should understand that the provided drawings are only for illustrating the objects, features and advantages of the present invention, and the drawings are not actually drawn to scale.

At the same time, unless the context clearly requires, the words "include", "include" and other similar words in the entire specification and claims should be interpreted as an inclusive meaning rather than an exclusive or exhaustive meaning; that is, "include but not limited to the meaning of ".

Fig. 1 is a flow chart of the reservoir physical property identification and evaluation method of the present invention. As shown in Fig. 1, the first step 101 is to collect comprehensive mud logging engineering data, and collect the drilling pressure P _i , drill bit torque T, drill bit speed n, ROP v, and drill bit diameter per 0.1m of the drill bit through the comprehensive mud logging instrument d _B and Z parameters while drilling.

The second step 102 is to calculate the power consumption E _i of the drill bit _, and calculate the power consumption E _i of the drill bit per 0.1m through the classical mechanical specific energy model;

The classical mechanical specific energy model is:

The power consumption E _i of the drill bit is filtered by the five-point bell method, and E _i =0.11(E _i-2 +E _i+2 )+0.24(E _i-1 +E _i+1 ) is obtained after filtering +0.3E _i ;

The third step 103 is to calculate the functional consumption W _H of the vertical drill and the functional consumption W _L of the tangential drill when the drill is working. The functional consumption W _H of the vertical drill and the functional consumption W _L of the tangential drill are passed through the first step The comprehensive mud logging engineering data described in step 101, the vertical drill bit energy consumption formula and the tangential drill bit energy consumption formula are calculated;

Among them, the energy consumption formula of the vertical drill

Among them, the energy consumption formula of tangential drill

In the formula, a is the formation experience data of the maximum drilling pressure of the same drill bit; b is the formation experience data of the maximum speed of the same drill bit.

The fourth step 104 is to calculate the power consumption trend value of the drill bit The calculation of drill bit power consumption trend value Using the sliding average method to calculate, select 5 said drill bits as a group, and calculate the trend value of the drill bit’s energy consumption in turn

Among them, j=2,3,4.

The fifth step 105 is to calculate the power consumption ratio of the drill bit W _bi , the power consumption ratio W _bi of the drill bit is the power consumption E _i of the drill bit and the trend value of the power consumption of the drill bit ratio of

The sixth step 106 is to calculate the overall sample standard deviation σ of the working power consumption ratio W _bi of the drill bit; the overall sample standard deviation is:

Among them, μ is the mathematical expectation value of W _bi , and the total sample size is N;

In the seventh step 107, the intersection area S is calculated, and the intersection area S is obtained by integrating the energy consumption W _H of the vertical drill bit and the energy consumption W _L of the tangential drill bit on the depth h of the drill bit:

Where h is the depth of the drill bit, h ₂ >h ₁ ; the method of judging the porosity of the reservoir by the intersection area S is described in detail in Fig. 2 .

The eighth step 108 is to classify the physical properties of the reservoir, and classify the physical properties of the reservoir according to the sample standard deviation σ, the average value of the drill bit power consumption ratio W _bi and the average value of the W _bi sub-samples, and the judgment method for the physical property classification of the reservoir is Described in detail in Figure 3.

Fig. 2 is a schematic flow chart of judging the size of inter-reservoir gaps in the present invention. As shown in Figure 2, the seventh step 107 in Figure 1 calculates the intersection area S, and judges whether the intersection area S is greater than 0 through step 201. When the intersection area S>0, it is a positive intersection 202, indicating the porosity of the reservoir Small, when the intersection area S≤0, it is a negative intersection 204, and the porosity of the reservoir is large; when the positive intersection 202, the larger the intersection area S indicates that the reservoir pores are less developed and the physical properties are worse; when the negative intersection 204, The larger the intersection area S, the more developed the reservoir pores and the better the physical properties.

Fig. 3 is a schematic flow chart of judging the physical property classification of the reservoir in the present invention. As shown in Figure 3:

Step 301, record the working power consumption ratio W _bi of the drill bit as the first sample W _bj, , and enter step 302;

Step 302, calculate the average value of the first sample W _bj , recorded as the first average value Go to step 303;

Step 303, the first sample W _bj < the first average value And if the first sample W _bj <1-σ, then it is judged as reservoir section B, and enter step 304, otherwise, it is non-reservoir section A, and stop judging;

Step 304, the record satisfies W _bj with W _bj <1-σ is recorded as the second sub-sample W _cj , and enters step 305;

Step 305, calculating the average value of the second sub-sample W _cj , which is recorded as the second average value

which is Wherein, m is the number of Wcj, enter step 306;

Step 306, the second sub-sample W _cj < the second mean value And 1-2σ<the second sub-sample W _cj <1-σ, go to step 307, otherwise it is judged as sub-section C, stop judging;

Step 307, the record satisfies And all values W _cj of 1-2σ<W _cj <1-σ are recorded as the third sub-sample W _dj , and enter step 308;

Step 308, calculate the average value of the third sub-sample W _dj , recorded as the third average value which is Wherein, n is the number of Wdj, enter step 309;

Step 309, the third sub-sample W _dj < the third average value And 1-3σ<the third sub-sample W _dj <1-2σ, then go to step 310, otherwise it is judged as intermediate segment D, stop judging;

Step 310, the record satisfies All values W _dj of are recorded as the fourth sub-sample W _ej , and enter step 311;

Step 311, calculate the average value of the fourth sub-sample, which is recorded as the fourth average value which is Wherein, p is the number of Wej, enter step 312;

Step 312, the fourth sub-sample W _ej < four mean values And if the fourth sub-sample W _ej <1-3σ, then it is judged to be an excellent grade segment F, and the judgment is stopped; otherwise, it is judged to be a good grade segment E, and the judgment is stopped;

Wherein, step 301, step 302 and step 303 are judged for the first time; Step 304, step 305 and step 306 are judged for the second time; Step 307, step 308 and step 309 are judged for the third time; step 310, step 311 and Step 312 is the fourth judgment.

Fig. 4 is a schematic block diagram of the reservoir physical property identification and evaluation device of the present invention. As shown in Figure 4, a device for identifying and evaluating physical properties of reservoirs while drilling based on comprehensive mud logging parameters includes: a comprehensive mud logging engineering data acquisition device 401, and the comprehensive mud logging engineering data acquisition device is respectively used as a calculation device for the energy consumption E _i of the drill bit 402 is connected with the calculation device 403 of the vertical drill power consumption W _H and the tangential drill power consumption W _L when the drill bit is working; the drill power consumption E _i calculation device 402 is connected with the drill power consumption trend value The calculation device 404 is connected, and the trend value of the power consumption of the drill bit is The calculation device 404 is connected with the calculation device 405 for the power consumption ratio _{Wbi of the drill bit, and the calculation device 405 for the power consumption ratio W bi of} the drill bit is connected with the standard deviation σ calculation device 406 for the overall sample standard deviation of the power consumption ratio of the drill bit, and the overall sample standard for the power consumption ratio of the drill bit is The difference σ calculation device 406 is connected with the reservoir physical property classification device 408;

The calculation device 405 for the power consumption ratio W _bi of the drill bit is connected to the reservoir physical property classification device 408; when the drill bit works, the power consumption W _H of the vertical drill bit and the power consumption W _L of the tangential drill bit are calculated with the calculation device 403 and the intersection area S calculation and reservoir The porosity judgment device 407 is connected.

The comprehensive mud logging engineering data acquisition device 401 collects comprehensive mud logging engineering data per 0.1m of drill bit, including bit pressure P _i , bit torque T, bit rotational speed n, ROP v, bit diameter d _B and drilling time Z.

The drilling power consumption E _i calculation device 402 is used to calculate the drilling power consumption E _i per 0.1 m.

Trend value of power consumption of drill bits The calculation device 404 is used to calculate the average value of the power consumption E _i of the m drill bits to obtain the trend value of the power consumption of the drill bits m∈[3,10],j=1,2,3,4.

The working power consumption ratio W _bi calculation device 405 of the drill bit is used to calculate the working power consumption E _i of the drill bit and the trend value of the working power consumption of the drill bit The ratio of the bit to get the power consumption ratio of the drill bit W _b .

The intersecting area S calculation and reservoir porosity judgment device 407 is used to calculate the intersecting area S, and judge the porosity of the reservoir according to the intersecting area S, wherein the intersecting area S uses the vertical drill bit to perform power consumption W _H and the work power consumption W _L of the tangential drill bit are integral to the drill bit depth h.

Furthermore, when the intersection area S>0, it is positive intersection, indicating that the porosity of the reservoir is small; when the intersection area S≤0, it is negative intersection, and the porosity of the reservoir is large; when the intersection area is positive, the larger the intersection area S is It means that the less developed the reservoir pores, the worse the physical properties; when the negative intersection, the larger the intersection area S means the more developed the reservoir pores, the better the physical properties.

The reservoir physical property grading device 408 utilizes the drill bit power consumption ratio W _bi average value of the drill bit power consumption ratio W _bi calculation device 405, the mean value of W _bi neutron samples, and the drill bit power consumption ratio overall sample standard deviation σ The sample standard deviation σ calculated by the calculation device 406 classifies the physical properties of the reservoir, and the judgment method for classifying the physical properties of the reservoir is shown in FIG. 5 .

Fig. 5 is a flow diagram of the present invention judging the physical property grading device of the reservoir, as shown in Fig. 5:

The first judgment device:

Record the working power consumption ratio _Wbi of the drill bit as the first sample _Wbj , calculate the average value of the first sample _Wbj , and record it as the first average value

said And W _bj <1-σ, then it is judged as a reservoir section, which satisfies the And W _bj with W _bj <1-σ is recorded as the second sub-sample W _cj , and enters the second judgment device, otherwise it is a non-reservoir section, and the judgment is stopped;

The second judgment device:

Calculate the average value of the second sub-sample W _cj , denoted as the second average value

said And 1-2σ<W _cj <1-σ, satisfy And all values W _cj of 1-2σ<W _cj <1-σ are recorded as the third sub-sample W _dj , and enter the third judgment device, otherwise it is judged as a secondary stage, and the judgment is stopped;

The third judgment device:

Calculate the average value of the third sub-sample W _dj , denoted as the third average

said And 1-3σ<W _dj <1-2σ, satisfying the And all values W _dj of 1-3σ<W _dj <1-2σ are recorded as the fourth sub-sample W _ej , and enter the fourth judgment device, otherwise it is judged as an intermediate stage, and the judgment is stopped;

The fourth judging device:

Calculate the average value of the fourth sub-sample W _ej , denoted as the fourth average

said And if W _ej <1-3σ, it is judged as an excellent segment, and the judgment is stopped; otherwise, it is judged as a good segment, and the judgment is stopped.

Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Optionally, they can be implemented with program codes executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be made into individual integrated circuit modules, or they can be integrated into Multiple modules or steps are fabricated into a single integrated circuit module to realize. As such, the present invention is not limited to any specific combination of hardware and software.

The above-mentioned examples are only to express the implementation of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the invention. It should be noted that those skilled in the art can make several modifications, equivalent replacements, improvements, etc. without departing from the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (10)

1. A method for identifying and evaluating physical properties of a reservoir while drilling based on comprehensive logging parameters is characterized by comprising the following steps:

firstly, collecting comprehensive logging engineering data;

the comprehensive logging engineering data is used for acquiring the bit pressure P of 0.1m per advancing rule of the drill bit through a comprehensive logging instrument_iBit torque T, bit speed n, rate of penetration v, bit diameter d_BAnd time-of-drilling Z data;

secondly, calculating the working energy consumption E of the drill bit_i；

The drill bitWork application energy consumption E_iCalculating the working energy consumption E of the drill bit of every 0.1m through a classical mechanical specific energy model_i；

Thirdly, calculating the working energy consumption W of the vertical drill when the drill works_HAnd the working energy consumption W of the tangential drill bit_L；

Fourthly, calculating the trend value of the work-doing energy consumption of the drill bit

Calculating the trend value of the work-doing energy consumption of the drill bitM said drill bits do work and consume energy E_iAverage value, m ∈ [3,10 ]],j＝1，2,3,4,…；

Fifthly, calculating the working energy consumption ratio W of the drill bit_bi；

The working energy consumption ratio W of the drill bit_biEnergy consumption E for applying work to the drill bit_iAnd the trend value of the work-doing energy consumption of the drill bitRatio of (A) to (B), W_bi∈(0,1)；

Sixthly, calculating the working energy consumption ratio W of the drill bit_biThe whole sample standard deviation σ;

step seven, calculating the intersection area S and judging the porosity of the reservoir;

the intersection area S is obtained by utilizing the vertical drill bit to do work and consuming energy W_HAnd the working energy consumption W of the tangential bit_LIntegration of the bit depth h yields:

$S=\underset{h_1}{\overset{h_2}{\&Integral;}}(W_H-W_L)dh,$

wherein h is the depth of the drill bit, h₂>h₁；

Eighthly, grading the physical properties of the reservoir;

the physical property grading judgment mode of the reservoir is as follows:

judging for the first time:

recording the working energy consumption ratio W of the drill bit_biIs the first sample W_bjCalculating said first sample W_bjIs taken as the first average value

The above-mentionedAnd W_bjIf the sum is less than 1-sigma, the reservoir section is judged to be satisfiedAnd W_bjW < 1-sigma_bjIs recorded as a second subsample W_cjEntering a second judgment, otherwise, judging as a non-reservoir section, and stopping the judgment;

and (4) judging for the second time:

calculating said second subsample W_cjIs taken as the second average value

The above-mentionedAnd 1-2 sigma<W_cj<1-sigma, satisfyAnd 1-2 sigma<W_cj<All values W of 1-sigma_cjIs recorded as the thirdSub-sample W_djEntering a third judgment, otherwise, judging as a secondary section, and stopping the judgment;

and (3) judging for the third time:

calculate the third subsample W_djIs taken as the third average value

The above-mentionedAnd 1-3 sigma<W_dj<1-2 σ, satisfy theAnd 1-3 sigma<W_dj<All values W of 1-2 sigma_djIs recorded as the fourth subsample W_ejEntering the fourth judgment, otherwise, judging the section as a middle stage, and stopping the judgment;

fourth judgment:

calculate the fourth subsample W_ejIs taken as the fourth average value

The above-mentionedAnd W_ejIf the value is less than 1-3 sigma, judging as a superior segment and stopping judging, otherwise, judging as a superior segment and stopping judging.

2. The method for identifying and evaluating while-drilling reservoir physical properties based on comprehensive logging parameters as recited in claim 1, wherein the classical mechanical specific energy model is:

$E_i=\frac{4P_i}{{\mathrm{\&pi;d}}_B^2}+\frac{480nT}{d_B^2\mathrm{\&upsi;}},i=1,2,3....$

3. the method for identifying and evaluating physical properties of reservoir while drilling based on comprehensive logging parameters as recited in claim 1 or 2, wherein the energy consumption W for vertical drill bit to do work when the drill bit does work is W_HAnd the working energy consumption W of the tangential drill bit_LThe calculation formulas are respectively;

$W_H=(W_i+W_i^{\sqrt[3]{\frac{W_i}{a}\&times;\frac{n}{b}}})\&times;n\&times;Z;$

$W_L=\mathrm{\&pi;}\&times;\frac{d_B}{4}\&times;T\&times;n\&times;Z;$

wherein a is the stratum empirical data of the maximum bit pressure of the same drill bit; b is the formation experience data of the maximum rotation speed of the same drill bit.

4. The method for identifying and evaluating physical properties of reservoir while drilling based on comprehensive logging parameters as claimed in claim 3, wherein the energy consumption E of work done by the outgoing drill bit_iFiltering by adopting a five-point bell-shaped method, wherein the filtered processing formula is E_i＝β(E_i-2+E_i+2)+γ(E_i-1+E_i+1)+E_i；

Wherein the beta value is 0.11, the gamma value is 0.24, and the gamma value is 0.3.

5. The method for identifying and evaluating physical properties of reservoir while drilling based on comprehensive logging parameters as claimed in any one of claims 1 to 4, wherein the trend value of energy consumption of bit doing work is calculatedThe method (1) adopts a sliding mean method;

wherein,

6. the method for identifying and evaluating while-drilling reservoir physical properties based on comprehensive logging parameters as recited in claim 5, wherein the value of m is 5.

7. A device for identifying and evaluating physical properties of a reservoir while drilling based on comprehensive logging parameters is characterized by comprising:

a comprehensive logging engineering data acquisition device (401) which is respectively connected with the working energy consumption E of the drill bit_iCalculating device (402) and energy consumption W for doing work of vertical drill bit when drill bit does work_HAnd the working energy consumption W of the tangential drill bit_LA computing device (403) connected; the working energy consumption E of the drill bit_iCalculating a trend value of energy consumption of the drill bit and the computing device (402)The computing device (404) is connected, and the trend value of the work energy consumption of the drill bitCalculating a ratio W of work done by the device (404) to energy consumed by the drill bit_biA calculating device (405) is connected, and the ratio W of the work energy consumption of the drill bit_biThe calculating device (405) is connected with the drill bit work energy consumption ratio integral sample standard deviation sigma calculating device (406), and the drill bit work energy consumption ratio integral sample standard deviation sigma calculating device (406) is connected with the reservoir physical property grading device (408); energy consumption W for vertical drill bit doing work when drill bit does work_HAnd the working energy consumption W of the tangential drill bit_LThe calculation device (403) is connected with the intersection area S calculation and reservoir porosity judgment device (407);

the comprehensive logging engineering data acquisition device (401) acquires comprehensive logging engineering data of 0.1m per advancing rule of a drill bit, including bit pressure P_iBit torque T, bit speed n, rate of penetration v, bit diameter d_BAnd time of drilling Z;

the working energy consumption E of the drill bit_iCalculating means (402) for calculating the energy consumption E per 0.1m of bit work_i；

The trend value of the energy consumption of the drill bit doing workThe computing device (404) is used for computing the work energy consumption E of the m drill bits_iThe average value obtains the trend value of the energy consumption of the drill bit doing workm∈[3,10],j＝1，2,3,4；

The working energy consumption ratio W of the drill bit_biA calculation device (405) for calculating the energy consumption E of the bit work_iAnd the trend value of the work-doing energy consumption of the drill bitTo obtain the ratio W of the work-doing energy consumption of the drill bit_bi；

The drill bit work energy consumption ratio integral sample standard deviation sigma calculating device (406) is used for calculating the drill bit work energy consumption ratio W_biThe standard deviation σ of (a);

the intersection area S calculation and reservoir porosity judgment device (407) is used for calculating an intersection area S and judging the reservoir porosity according to the intersection area S, wherein the intersection area S is obtained by utilizing the vertical drill bit to do work and consuming energy W_HAnd the working energy consumption W of the tangential bit_LObtaining the integral of the depth h of the drill bit;

the determination method of the reservoir physical property grading device (408) for grading the physical property of the reservoir is as follows:

first judging means:

recording the working energy consumption ratio W of the drill bit_biIs the first sample W_bjCalculating said first sample W_bjIs taken as the first average value

The above-mentionedAnd W_bjIf the sum is less than 1-sigma, the reservoir section is judged to be satisfiedAnd W_bjW < 1-sigma_bjIs recorded as a second subsample W_cjEntering a second judging device, otherwise, stopping judging for a non-reservoir section;

the second judging device:

calculating said second subsample W_cjIs taken as the second average value

The above-mentionedAnd 1-2 sigma<W_cj<1-sigma, satisfyAnd 1-2 sigma<W_cj<All values W of 1-sigma_cjIs recorded as a third subsample W_djEntering a third judging device, otherwise judging as a secondary section, and stopping judging;

the third judging device:

calculate the third subsample W_djIs taken as the third average value

The above-mentionedAnd 1-3 sigma<W_dj<1-2 σ, satisfy theAnd 1-3 sigma<W_dj<All values W of 1-2 sigma_djIs recorded as the fourth subsample W_ejEntering a fourth judging device, otherwise, judging the section as a middle stage, and stopping judging;

fourth judging means:

calculate the fourth subsample W_ejIs taken as the fourth average value

The above-mentionedAnd W_ejIf the value is less than 1-3 sigma, judging as a superior segment and stopping judging, otherwise, judging as a superior segment and stopping judging.

8. The device for identifying and evaluating physical properties of reservoir while drilling based on comprehensive logging parameters as claimed in claim 7, wherein the energy consumption E of the drill bit for doing work is_iThe calculating device (402) adopts a classical mechanical specific energy model for calculation;

wherein the classical mechanical specific energy model is:

$E_i=\frac{4P_i}{{\mathrm{\&pi;d}}_B^2}+\frac{480nT}{d_B^2\mathrm{\&upsi;}},i=1,2,3....$

9. the device for identifying and evaluating physical properties of reservoir while drilling based on comprehensive logging parameters as recited in claim 7 or 8, wherein the energy consumption W for vertical drill bit to do work when the drill bit does work is W_HAnd the working energy consumption W of the tangential drill bit_LA calculation formula score of the calculation means (403)Respectively, the following steps:

$W_H=(W_i+W_i^{\sqrt[3]{\frac{W_i}{a}\&times;\frac{n}{b}}})\&times;n\&times;Z;W_L=\mathrm{\&pi;}\&times;\frac{d_B}{4}\&times;T\&times;n\&times;Z;$

wherein a is the stratum empirical data of the maximum bit pressure of the same drill bit; b is the formation experience data of the maximum rotation speed of the same drill bit.

10. The device for identifying and evaluating reservoir physical properties while drilling based on comprehensive logging parameters as claimed in claim 9, wherein:

the working energy consumption E of the drill bit_iThe computing device (402) adopts a five-point bell-shaped filtering process, and the filtered processing formula is E_i＝β(E_i-2+E_i+2)+γ(E_i-1+E_i+1)+E_i；

Wherein the beta value is 0.11, the gamma value is 0.24, and the gamma value is 0.3;

the working energy consumption trend point of the drill bitThe calculating device (404) adopts a sliding mean method to obtain;

wherein,