CN112983411B - Method for estimating mixed liquor resistivity by using inspection well data - Google Patents
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Abstract
本发明公开了一种应用检查井数据估算混合液电阻率的方法，应用检查井的岩心分析化验数据、水分析化验数据、生产动态、测井数据等4种资料的占有情况，结合其他辅助实验测量或者理论分别得到产水率和混合液矿化度/电阻率，统计建立产水率与混合液电阻率的关系模型，最终实现了应用检查井数据估算混合液电阻率的目的，相比现有技术，本发明采用的是油藏开发过程中的观测数据，不同于理论和实验模拟，准确性更高，具有更加符合实际的生产情况。
The invention discloses a method for estimating the resistivity of mixed liquid by applying inspection well data, using the occupancy of four kinds of data such as core analysis test data, water analysis test data, production performance, logging data, etc. of the inspection well, combined with other auxiliary experiments The water production rate and the salinity/resistivity of the mixed liquid were obtained by measurement or theory, and the relationship model between the water production rate and the mixed liquid resistivity was statistically established, and finally the purpose of estimating the mixed liquid resistivity using the inspection well data was realized. In the prior art, the present invention adopts observation data in the process of reservoir development, which is different from theoretical and experimental simulation, and has higher accuracy and more realistic production conditions.
Description
Technical Field
The invention relates to a petroleum logging evaluation technology, which is mainly based on core analysis and test data, water analysis and test data, production dynamic (water yield) data and logging data of an inspection well to establish a statistical relationship between the water yield and the resistivity of a stratum mixed solution, and finally establishes a method for estimating the resistivity of the mixed solution by using the inspection well data.
Background
Most oil fields enter the middle and later development stages, and for developing the oil fields by water injection, the key of oil field potential excavation is to research the saturation degree and enrichment area of residual oil. When the residual oil saturation is quantitatively calculated by using resistivity logging, the resistivity of the stratum mixed liquid is the most critical parameter.
In the prior art, two methods are mainly used for calculating the resistivity of the stratum mixed liquid. One method is to estimate the mixed liquor resistivity by a material balance method such as a desalination model or a multiple-times-multiplied water injection balance method. The other method is to obtain the statistical relationship between the water yield and the resistivity of the mixed liquor based on the relative permeability and resistivity combined test measurement. The former method is based on theoretical hypothesis, and the mixing of original formation water and k times volume of injected water in an oil reservoir is assumed, which is not consistent with the dynamic change situation of the salinity of the formation water reinjected by actually produced sewage (the reinjection of the sewage of a plurality of oil reservoirs is often carried out after mixing, and the change of the injected water is very complex), so that the relationship between the resistivity and the water yield of the mixed formation water determined by theory is inaccurate. The latter method requires experimental measurement to establish the relationship between the resistivity of mixed formation water and the water yield, for example, CN103233730A discloses an experimental measurement method for mixed formation water resistivity in the process of core water flooding, the resistivity of the mixed formation water in the core displacement process is measured by using a relative permeability and resistivity combined measuring device and adopting a mixed formation water discrete sampling and proportional dilution and resistivity measuring method, the discrete sampling of the mixed formation water adopts a measuring cylinder to discretely obtain an oil-water mixed liquid sample, and an oil-water separation method is used for separating oil and water to cumulatively measure the volume of discharged oil and the volume of discharged water, the proportional dilution and resistivity measurement is to add distilled water into centrifugally purified mixed formation water according to a certain proportion to make the volume of the mixed formation water large enough to meet the requirement of an electrolyte solution resistivity measuring device for measuring resistivity, and then convert the volume of the mixed formation water into the resistivity before dilution so as to finally determine the resistivity of the mixed formation water.
The method adopts the mixture of injected water with fixed mineralization and formation water, is difficult to simulate the sewage reinjection condition of actual oil reservoir water injection development, is difficult to establish experimental conditions, has long testing period, is difficult to use, and has the defects of different scales of experimental objects and oil reservoirs.
Therefore, it is necessary to develop a new method for estimating the resistivity of the mixed liquor to meet the actual production requirements for the mixed liquor resistivity estimation.
Disclosure of Invention
The invention aims to provide a method for estimating the resistivity of a mixed liquid of formation water by using data of a target block inspection well.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for estimating the resistivity of mixed liquid by using inspection well data is beneficial to the inspection well data and the establishment of a relation model of the resistivity of the mixed liquid and the water production rate.
Preferably, the well data includes core analysis assay data, water analysis assay data, production dynamics data and logging data.
Preferably, the method for estimating the mixed liquor resistivity by using the inspection well data comprises the following steps:
for the condition that the water analysis test data is not less than 3 layers and the corresponding water production rate data exists, converting the water analysis test data into mixed liquor resistivity data, and statistically establishing a relation model of the mixed liquor resistivity and the water production rate by using the water production rate data and the mixed liquor resistivity data of the inspection well;
for the condition that the water analysis test data without a single layer or the water analysis test data is unreliable, calculating to obtain the resistivity of the mixed liquid according to an Archie formula and the water production rate data of the inspection well according to the closed coring rock core analysis test data and the logging data of the inspection well, and then statistically establishing a relation model of the resistivity of the mixed liquid and the water production rate;
and for the condition that the water yield is not high and the water analysis test data or the water analysis test data of a single layer is not reliable, estimating the water yield from the core analysis test data according to the relative permeability curve, calculating the resistivity of the mixed liquid by applying an Archie formula according to the core analysis test data and the logging data of closed coring, and statistically establishing a relation model of the resistivity of the mixed liquid and the water yield.
Preferably, the core analysis assay data includes porosity and saturation.
Preferably, the water analysis assay data includes formation water mineralization.
Preferably, the production dynamics data includes water production rate.
Preferably, the well log data comprises acoustic moveout and resistivity.
Preferably, the formula for converting the water analysis assay data into mixed liquor resistivity data is:
RWZ＝(1+(300000/(CW) (1/1.05)))/(1.8*T+39) (1)
wherein R isWZIs the resistivity of the mixed liquid; cWIs the degree of mineralization; t is the formation temperature in deg.C.
Preferably, the formula for calculating the resistivity of the mixed liquor by applying the Archie formula is as follows:
RWZ＝SW n*Φm*RT/a*b (2)
in the formula, phi is the porosity of the rock core; sWIs the saturation; rTIs the resistivity;
a. b, m and n are determined by applying a rock-electricity experiment.
The invention has the beneficial effects that:
according to the occupation conditions of 4 data such as core analysis and test data, water analysis and test data, production dynamics and logging data of the inspection well, the water production rate and the mineralization degree/resistivity of the mixed liquor are respectively obtained by combining other auxiliary experimental measurements or theories, a relation model of the water production rate and the resistivity of the mixed liquor is statistically established, and finally the purpose of estimating the resistivity of the mixed liquor by using the inspection well data is achieved.
Drawings
FIG. 1 is a flow chart of a method of estimating formation water mixture resistivity using data from a target block manhole in accordance with the present invention.
FIG. 2 is a statistical relationship model of water production rate and water saturation established by a KL oilfield T layer based on relative permeability experimental data.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention are further described below with reference to the accompanying drawings and specific embodiments.
As shown in FIG. 1, a method for estimating the resistivity of mixed liquor by using inspection well data is beneficial to the inspection well data and the establishment of a relation model of the resistivity of mixed liquor and the water production rate.
Preferably, the well data includes core analysis assay data, water analysis assay data, production dynamics data and logging data.
Preferably, a method of estimating a mixture resistivity using well data, comprising:
for the condition that the water analysis test data is not less than 3 layers and the corresponding water production rate data exists, converting the water analysis test data into mixed liquor resistivity data, and statistically establishing a relation model of the mixed liquor resistivity and the water production rate by using the water production rate data and the mixed liquor resistivity data of the inspection well;
for the condition that the water analysis test data without a single layer or the water analysis test data is unreliable, calculating to obtain the resistivity of the mixed liquid according to an Archie formula and the water production rate data of the inspection well according to the closed coring rock core analysis test data and the logging data of the inspection well, and then statistically establishing a relation model of the resistivity of the mixed liquid and the water production rate;
and for the condition that the water yield is not high and the water analysis test data or the water analysis test data of a single layer is not reliable, estimating the water yield from the core analysis test data according to the relative permeability curve, calculating the resistivity of the mixed liquid by applying an Archie formula according to the core analysis test data and the logging data of closed coring, and statistically establishing a relation model of the resistivity of the mixed liquid and the water yield.
Preferably, the core analysis assay data includes porosity and saturation.
Preferably, the water analysis assay data includes formation water mineralization.
Preferably, the production dynamics data includes water production rate.
Preferably, the well log data comprises acoustic moveout and resistivity.
Preferably, the formula for converting the water analysis assay data into mixed liquor resistivity data is:
RWZ＝(1+(300000/(CW) (1/1.05)))/(1.8*T+39) (1)
wherein R isWZIs the resistivity of the mixed liquid; cWIs the degree of mineralization; t is the formation temperature in deg.C.
Preferably, the formula for calculating the resistivity of the mixed liquor by applying the Archie formula is as follows:
RWZ＝SW n*Φm*RT/a*b (2)
in the formula, phi is the porosity of the rock core; sWIs the saturation; rTIs the resistivity;
a. b, m and n are determined by applying a rock-electricity experiment.
Preferably, for the case that the water analysis test data including no less than 3 layers and corresponding water production rate data exist, the method for estimating the resistivity of the mixed liquor by using the manhole data is as follows:
s11, collecting water analysis test data (degree of mineralization C) of a plurality of layers (not less than 3 layers) of the inspection wellW) Conversion to mixed liquor resistivity RWZApplying the formula as
RWZ＝(1+(300000/(CW) (1/1.05)))/(1.8*T+39) (1)
Wherein T is the formation temperature, DEG C;
s12, mixing the water production rate data of the inspection wells of a plurality of layers (not less than 3 layers) with the calculated resistivity data R of the mixed liquid of the layers (not less than 3 layers)WZAnd statistically establishing a statistical relationship model of the resistivity and the water production rate of the mixed liquid.
Preferably, for the case that the water analysis test data without single layer or the water analysis test data is not reliable, the method for estimating the mixed liquor resistivity by using the inspection well data is as follows:
s21, extracting logging resistivity values R of a plurality of layers (not less than 3 layers) of the inspection wellT；
S22, extracting the core porosity phi and the saturation S of a plurality of layers (not less than 3 layers) of the inspection wellW(ii) a Because the water production rate is obtained by taking the layer as a unit during production, the average values of the porosity and the saturation of the test are analyzed by using the core of the perforation opening layer.
S23, calculating the resistivity R of a plurality of single-layer (not less than 3 layers) mixed liquid according to an Archie formulaWZ，
RWZ＝SW n*Φm*RT/a*b
In the formula, a, b, m and n are determined by a rock-electricity experiment;
s24, mixing the water production rate data of the inspection wells of a plurality of layers (not less than 3 layers) with the calculated resistivity data R of the mixed liquid of the layers (not less than 3 layers)WZAnd statistically establishing a statistical relationship model of the resistivity and the water production rate of the mixed liquid.
Preferably, for the case of no water production rate and no single layer of water analysis test data or unreliable water analysis test data, the method for estimating the resistivity of the mixed liquor by using the inspection well data comprises the following steps:
s31, extracting the logging resistivity R of a plurality of layers (not less than 3 layers) of the inspection wellT；
S32, extracting the core porosity phi and the saturation S of a plurality of layers (not less than 3 layers) of the inspection wellW. For obtaining water production rate in units of interval during production, core analysis and testing using perforated open intervalsPorosity, average of saturation.
S33, calculating the resistivity R of a plurality of single-layer (not less than 3 layers) mixed liquid according to an Archie formulaWZ；
RWZ＝SW n*Φm*RT/a*b
In the formula, a, b, m and n are determined by a rock-electricity experiment;
s34, obtaining a statistical relationship between the water yield and the water saturation based on the relative permeability curve;
and S35, estimating the water yield of each single layer according to the closed coring saturation of each single well of the inspection well.
S36, mixing the water production rate data of the inspection wells of a plurality of layers (not less than 3 layers) with the calculated resistivity data R of the mixed liquid of the layers (not less than 3 layers)WZAnd statistically establishing a statistical relationship model of the resistivity and the water production rate of the mixed liquid.
In order to verify the applicability of the method, the technology and features of the present invention are specifically described in detail below by taking KL oilfield T-zone as an example, but the examples are not intended to limit the scope of the present invention.
Example 1: KL oilfield T layer
The implementation process is described in detail as follows:
for the case that the water analysis test data including no less than 3 layers and corresponding water production rate data exist, the method for estimating the resistivity of the mixed liquor by using the inspection well data is specifically as shown in a scheme 1:
1) converting the mineralization degree of the stratum mixed liquor in the collected single-layer water analysis assay data of the inspection well into the resistivity of the stratum mixed liquor under the condition of stratum temperature, wherein the resistivity is shown in table 1;
2) establishing a model R of the collected single-layer water production rate and the resistivity of the stratum mixed liquidWZ＝0.6183*FW+0.2567；R2＝0.7968。
TABLE 1 statistical table for collecting water yield per layer and analysis and assay data of water per layer
The application effect is as follows:
table 2 compares the results of applying protocol 1 to calculate the resistivity of the mixed liquor with the resistivity of the water analysis assay.
TABLE 2 comparison of the results of the applied model calculation for the well to be evaluated with the water analysis assay data
The results show that: the error is not more than 9% by comparing the calculation result of the model with the water analysis test result, and the effect is good.
For the case that the water analysis test data without single layer or the water analysis test data is not reliable, the method for estimating the resistivity of the mixed liquid by using the inspection well data is specifically as the scheme 2:
1) extracting resistivity value R of single-layer stratumT。
2) Saturation S of water in coring data of inspection wellWAnd porosity data Φ and extracted formation resistivity RTSubstituting the data into Archie formula (knowing geological parameters a-0.8212, b-1.0306, m-1.8334 and n-1.9113 in the region), calculating the resistivity R of the stratum mixed liquid of the single layerWZAs shown in table 3.
TABLE 3 calculation of R using Archie's formulaWZ
3) Establishing a model of the collected single-layer water production rate and the resistivity of the stratum mixed liquid obtained by calculation
RWZ＝0.6181*FW+0.2568；R2＝0.7978。
Table 4 compares the calculated mixed liquor resistivity with the resistivity of the water analysis assay using protocol 2.
The application effect is as follows:
TABLE 4 comparison of the results of the applied model calculation for the well to be evaluated with the water analysis assay data
The results show that: the error is not more than 9% by comparing the calculation result of the model with the water analysis test result, and the effect is good.
For the case of no water production rate and no single layer of water analysis assay data or unreliable water analysis assay data, the method for estimating the resistivity of the mixed liquor by using the inspection well data is specifically as in scheme 3:
1) and extracting a single-layer formation resistivity value RT.
2) Saturation S of water in coring data of inspection wellWAnd porosity data Φ and extracted formation resistivity RTSubstituting the data into Archie formula (knowing geological parameters a-0.8212, b-1.0306, m-1.8334 and n-1.9113 in the region), calculating the resistivity R of the stratum mixed liquid of the single layerWZAs shown in table 5.
TABLE 5 calculation of R using Archie's formulaWZStatistical table
3) Establishing a model of water production rate and water saturation according to the relative permeability experimental data of the inspection well, as shown in figure 2:
Fw＝-4.3915*Sw 2+5.5042*Sw-0.72395；R2＝0.96。
in the formula, the water yield in the relative permeability data is calculated by adopting the following formula:
FW＝1/(1+(μw/μo)*(Ko/Kw))
in the formula, K0Effective permeability of the oil; kWIs waterAn effective permeability; mu.swIs the viscosity of water; mu.soIs the viscosity of the oil.
4) The single layer water production was estimated using the closed core water saturation based on the water production and water saturation models described above (table 6).
TABLE 6 estimation of single layer water yield results based on saturation versus water yield relationship
| Number of well | Layer number | Starting depth/m | End depth/m | T/℃ | SW | FW |
| Inspection shaft 1 | |
1257.5 | 1259.5 | 51 | 0.336 | 0.630 |
| |
Layer 2 | 1263 | 1265 | 51 | 0.374 | 0.719 |
| Inspection shaft 2 | |
1268.5 | 1271 | 51 | 0.3 | 0.533 |
| Inspection shaft 3 | |
1253.5 | 1256 | 51 | 0.153 | 0.014 |
| Inspection shaft 3 | Layer 2 | 1264 | 1268 | 51 | 0.15 | 0.003 |
| Inspection shaft 3 | Layer 3 | 1270.5 | 1271.5 | 51 | 0.201 | 0.206 |
| Inspection shaft 4 | |
1230 | 1233.5 | 51 | 0.428 | 0.828 |
| Inspection shaft 4 | Layer 2 | 1237 | 1240 | 51 | 0.358 | 0.683 |
5) Establishing a model of the resistivity of the stratum mixed liquor obtained by calculating the estimated single-layer water yield and water analysis and assay data;
RWZ＝0.6181*FW+0.2568；R2＝0.7978。
the application effect is as follows:
table 7 compares the results of applying protocol 3 to calculate the resistivity of the mixed liquor with the resistivity of the water analysis assay.
TABLE 7 comparison of the results of the applied model calculation for the well to be evaluated with the water analysis and assay data
The results show that: the error is not more than 10% by comparing the calculation result of the model with the water analysis test result, and the effect is good.
It should be emphasized that the embodiments described herein are illustrative rather than restrictive, and thus the present invention is not limited to the embodiments described in the detailed description, but also includes other embodiments that can be derived from the technical solutions of the present invention by those skilled in the art.
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