[go: up one dir, main page]

CN108133087A - A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method - Google Patents

A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method Download PDF

Info

Publication number
CN108133087A
CN108133087A CN201711304207.8A CN201711304207A CN108133087A CN 108133087 A CN108133087 A CN 108133087A CN 201711304207 A CN201711304207 A CN 201711304207A CN 108133087 A CN108133087 A CN 108133087A
Authority
CN
China
Prior art keywords
gas
water
phase
pressure
permeability
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201711304207.8A
Other languages
Chinese (zh)
Inventor
窦祥骥
何岩峰
王相
浮历沛
邓嵩
张世锋
曹文科
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changzhou University
Original Assignee
Changzhou University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changzhou University filed Critical Changzhou University
Priority to CN201711304207.8A priority Critical patent/CN108133087A/en
Publication of CN108133087A publication Critical patent/CN108133087A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Computer Hardware Design (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Computation (AREA)
  • Algebra (AREA)
  • Geometry (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)

Abstract

本发明涉及一种气‑水两相渗流应力敏感储层原始渗透率反演方法,包括如下步骤:(1)气井日常生产数据、储层物性、流体物性、应力敏感数据的收集整理;(2)计算不同压力条件下的气‑水等效相渗曲线;(3)计算考虑应力敏感储层气‑水两相复杂渗流特征的改进拟参数;(4)绘制并利用改进的半对数曲线识别拟径向流;(5)对曲线上的散点进行线性回归,根据回归所得到的直线斜率,利用储层原始渗透率计算模型实现对原始渗透率的反演。本发明可以充分考虑应力敏感储层中气‑水两相渗流时相渗曲线应力敏感、绝对渗透率应力敏感、滑脱效应等复杂渗流特征,消除了传统计算方法所造成的误差,可广泛用于应力敏感储层的储层参数评价。

The invention relates to a gas-water two-phase seepage stress-sensitive reservoir original permeability inversion method, comprising the following steps: (1) collecting and sorting out the daily production data of the gas well, the physical properties of the reservoir, the physical properties of the fluid, and the stress-sensitive data; (2) ) Calculation of gas-water equivalent phase permeability curves under different pressure conditions; (3) Calculation of improved quasi-parameters considering the complex seepage characteristics of gas-water two-phase in stress-sensitive reservoirs; (4) Drawing and using the improved semi-logarithmic curve Identify quasi-radial flow; (5) Perform linear regression on the scattered points on the curve, and use the reservoir original permeability calculation model to realize the inversion of the original permeability according to the linear slope obtained from the regression. The present invention can fully consider complex seepage characteristics such as phase permeability curve stress sensitivity, absolute permeability stress sensitivity, and slippage effect during gas-water two-phase seepage in stress-sensitive reservoirs, eliminates errors caused by traditional calculation methods, and can be widely used Reservoir parameter evaluation for stress-sensitive reservoirs.

Description

一种气-水两相渗流应力敏感储层原始渗透率反演方法A method for original permeability inversion of gas-water two-phase seepage stress-sensitive reservoir

技术领域technical field

本发明涉及气藏开发技术领域,特别涉及一种气-水两相渗流应力敏感储层原始渗透率反演方法。The invention relates to the technical field of gas reservoir development, in particular to an original permeability inversion method for a gas-water two-phase seepage stress-sensitive reservoir.

背景技术Background technique

应力敏感储层的渗透率通常较低,且随着地层压力的改变而不断发生变化。而应力敏感气藏开发前,地层压力保持为原始地层压力,此时的渗透率称为原始渗透率。对于存在气-水两相渗流的应力敏感储层来说,原始渗透率的准确获取对于预测开发过程中储层渗透率的变化规律、预测气井产能、制定合理开发方案具有十分重要的作用。The permeability of stress-sensitive reservoirs is usually low and changes continuously with the change of formation pressure. Before the development of stress-sensitive gas reservoirs, the formation pressure remains at the original formation pressure, and the permeability at this time is called the original permeability. For stress-sensitive reservoirs with gas-water two-phase seepage, accurate acquisition of original permeability is very important for predicting the change law of reservoir permeability during development, predicting gas well productivity, and formulating a reasonable development plan.

但是,目前存在的一些原始渗透率反演方法,并未综合考虑应力敏感储层气-水两相复杂渗流特征,特别是忽视了相渗曲线的应力敏感,所得到的储层原始渗透率与真实值之间通常存在一定的差异,因此不适用于气-水两相渗流应力敏感储层原始渗透率的反演。However, some existing original permeability inversion methods do not comprehensively consider the complex seepage characteristics of gas-water two-phase in stress-sensitive reservoirs, especially ignore the stress sensitivity of phase permeability curves. There is usually a certain difference between the real values, so it is not suitable for the inversion of the original permeability of the gas-water two-phase seepage stress-sensitive reservoir.

发明内容Contents of the invention

本发明要解决的技术问题是:为了克服现有技术中之不足,本发明提供一种综合考虑相渗曲线应力敏感等气-水两相渗流特征的气-水两相渗流应力敏感储层原始渗透率反演方法,从而提高原始渗透率反演结果的准确性。The technical problem to be solved by the present invention is: in order to overcome the deficiencies in the prior art, the present invention provides an original gas-water two-phase seepage stress-sensitive reservoir that comprehensively considers the characteristics of gas-water two-phase seepage such as the stress sensitivity of the phase permeability curve. Permeability inversion method, thereby improving the accuracy of the original permeability inversion results.

本发明解决其技术问题所采用的技术方案是:一种气-水两相渗流应力敏感储层原始渗透率反演方法,包括如下步骤:The technical scheme adopted by the present invention to solve the technical problem is: a method for inversion of the original permeability of a gas-water two-phase seepage stress-sensitive reservoir, comprising the following steps:

(1)、气井日常生产数据、储层物性、流体物性、气-水相渗数据、应力敏感数据的收集整理;(1) Collection and arrangement of daily production data of gas wells, reservoir physical properties, fluid physical properties, gas-water phase permeability data, and stress-sensitive data;

(2)、计算不同压力条件下综合考虑相渗曲线应力敏感、绝对渗透率应力敏感及动态滑脱效应等气-水两相复杂渗流特征的等效气-水相渗曲线;(2) Calculating the equivalent gas-water phase permeability curve under different pressure conditions considering the stress sensitivity of the phase permeability curve, the stress sensitivity of the absolute permeability and the dynamic slippage effect, etc.

(3)、利用等效气-水相渗曲线,结合气井生产数据,根据下式,计算考虑应力敏感储层气-水两相复杂渗流特征的改进的拟压力及拟时间;(3), using the equivalent gas-water phase permeability curve, combined with the production data of the gas well, according to the following formula, calculate the improved pseudo-pressure and pseudo-time considering the complex seepage characteristics of the gas-water two-phase in the stress-sensitive reservoir;

其中,ψtwo为考虑应力敏感储层气-水两相复杂渗流特征的改进的拟压力,MPa/cp;ttwo为考虑应力敏感储层气-水两相复杂渗流特征的改进的拟时间,d;p为压力,MPa;pa为参考压力,MPa;t为真实时间,d;ta为参考时间,d;ρg为气相地下密度,kg/m3;ρw为水的地下密度,kg/m3;ρwsc为水的地面标准密度,kg/m3为平均压力所对应的气相地下密度,kg/m3为平均压力所对应的水相地面标准密度,kg/m3;krgE为气相等效相对渗透率;krwE为水相等效相对渗透率;为平均压力所对应的气相等效相对渗透率;为平均压力所对应的水相等效相对渗透率;μg为气体粘度,cp;μw为水的粘度,cp;μgi为原始地层压力下的气体粘度,cp;为平均压力所对应的气体粘度,cp;为平均压力所对应的水的粘度,cp;Ct-twoi为原始地层压力下的气水两相综合压缩系数,MPa-1为平均压力所对应的气水两相综合压缩系数,MPa-1Among them, ψ two is the improved pseudo-pressure considering the complex gas-water two-phase seepage characteristics of the stress-sensitive reservoir, MPa/cp; t two is the improved pseudo-time considering the gas-water two-phase complex seepage characteristics of the stress-sensitive reservoir, d; p is the pressure, MPa; p a is the reference pressure, MPa; t is the real time, d; t a is the reference time, d; ρ g is the underground density of gas phase, kg/m 3 ; ρ w is the underground density of water , kg/m 3 ; ρ wsc is the ground standard density of water, kg/m 3 ; is the underground density of gas phase corresponding to the average pressure, kg/m 3 ; is the water phase surface standard density corresponding to the average pressure, kg/m 3 ; k rgE is the gas phase equivalent relative permeability; k rwE is the water phase equivalent relative permeability; is the gas-phase equivalent relative permeability corresponding to the average pressure; μ g is the gas viscosity, cp; μ w is the water viscosity, cp; μ gi is the gas viscosity under the original formation pressure, cp; is the gas viscosity corresponding to the average pressure, cp; is the viscosity of water corresponding to the average pressure, cp; C t-twoi is the comprehensive compressibility coefficient of gas-water two-phase under the original formation pressure, MPa -1 ; is the comprehensive compressibility coefficient of gas-water two-phase corresponding to the average pressure, MPa -1 ;

(4)、基于计算获得的改进的拟压力及拟时间,绘制并利用改进的半对数曲线识别拟径向流;(4), based on the improved pseudo-pressure and pseudo-time obtained by calculation, draw and use the improved semi-logarithmic curve to identify pseudo-radial flow;

(5)、对曲线上的散点进行线性回归,根据回归所得到的直线斜率,利用储层原始渗透率计算模型实现对原始渗透率的反演。(5) Carry out linear regression on the scattered points on the curve, and use the calculation model of the original permeability of the reservoir to realize the inversion of the original permeability according to the slope of the straight line obtained by the regression.

上述步骤(4)中,绘制改进的根号下时间曲线时,当气井为定含气量生产时,横坐标为lg(ttwo),而当气井产气量不恒定时,横坐标为lg(tsr-two),而纵坐标为变产气量情况下的横坐标lg(tsr-two)可利用下式进行计算,In the above step (4), when drawing the improved time curve under the root sign, when the gas well is producing with constant gas content, the abscissa is lg(t two ), and when the gas production of the gas well is not constant, the abscissa is lg(t sr-two ), while the ordinate is The abscissa lg(t sr-two ) in the case of variable gas production can be calculated using the following formula,

其中,ψtwoi为原始地层压力所对应的改进拟压力;ψtwowf为井底流压所对应的改进拟压力;qtwo为气-水总产量;tsr-two为拟径向流阶段所对应的改进的物质平衡拟时间,用于将变产量条件转化为定产量条件,单位为天(d);n为数据点的总数量。Among them, ψ twoi is the improved pseudo-pressure corresponding to the original formation pressure; ψ twowf is the improved pseudo-pressure corresponding to the bottomhole flow pressure; q two is the total gas-water production; t sr-two is the corresponding pseudo-radial flow stage The improved material balance pseudo time is used to convert the variable yield condition into the constant yield condition, the unit is day (d); n is the total number of data points.

上述步骤(5)中,基于回归得到的直线斜率mtwo-r,原始渗透率的计算模型为其中,mtwo-r为改进的根号下时间曲线上地层线性流阶段数据点所回归得到的直线斜率;h为气层有效厚度m;ki为原始地层压力条件下的原始渗透率mD。In the above step (5), based on the linear slope m two-r obtained by regression, the calculation model of the original permeability is Among them, m two-r is the slope of the straight line obtained by regression of the data points in the formation linear flow stage on the improved square root time curve; h is the effective thickness of the gas layer m; ki is the original permeability mD under the original formation pressure condition.

通过以上步骤,可以实现对气-水两相渗流应力敏感储层原始渗透率的反演。Through the above steps, the inversion of the original permeability of the gas-water two-phase seepage stress-sensitive reservoir can be realized.

本发明的有益效果是:The beneficial effects of the present invention are:

1.与现有的原始渗透率确定方法相比,本方法综合考虑了相渗曲线应力敏感等复杂渗流特征,因此相对于当前主流的原始渗透率反演方法,更加接近应力敏感储层的实际渗流情况,所得到的原始渗透率更加准确。1. Compared with the existing original permeability determination method, this method comprehensively considers the complex seepage characteristics such as relative permeability curve stress sensitivity, so compared with the current mainstream original permeability inversion method, it is closer to the actual stress-sensitive reservoir In case of seepage, the obtained original permeability is more accurate.

2.与当前的常见的数值求解方法相比,本方法采用了半解析方法,求取速度更快。2. Compared with the current common numerical solution methods, this method adopts a semi-analytic method, and the calculation speed is faster.

3.与当前的常见的试井解释方法相比,本方法是基于日常生产数据进行分析,解决了传统的试井反演方法过于依赖现场试井测试的弊端,无需进行关井测试,显著降低了原始绝对渗透率反演的成本。3. Compared with the current common well test interpretation method, this method is based on the analysis of daily production data, which solves the disadvantages of the traditional well test inversion method relying too much on the field test test, without the need for shut-in test, which significantly reduces the The cost of original absolute permeability inversion is reduced.

4.与当前的岩心实验方法相比,由于实验方法中的岩心体积通常较小,所获得的该岩心的原始渗透率无法代表非均质地层中整个井控范围内的渗透率特征,而本方法所反演获得的是整个井控范围内的储层原始渗透率,对于油气开发的实际意义更大。4. Compared with the current core test method, because the core volume in the test method is usually small, the original permeability of the core obtained cannot represent the permeability characteristics of the entire well control range in heterogeneous formations, and this paper What the inversion method obtains is the original permeability of the reservoir within the entire well control range, which has greater practical significance for oil and gas development.

附图说明Description of drawings

下面结合附图和实施例对本发明进一步说明。The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

图1为本发明流程图。Fig. 1 is the flow chart of the present invention.

图2为本发明实施例中的水气比及井底流压数据。Fig. 2 is the water-gas ratio and bottom hole flow pressure data in the embodiment of the present invention.

图3为本发明实施例中的等效相渗曲线。Fig. 3 is the equivalent phase permeability curve in the embodiment of the present invention.

图4为本发明实施例中改进的半对数曲线。Fig. 4 is an improved semi-logarithmic curve in an embodiment of the present invention.

具体实施方式Detailed ways

现在结合附图对本发明作进一步详细的说明。这些附图均为简化的示意图,仅以示意方式说明本发明的基本结构,因此其仅显示与本发明有关的构成。The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

如图1所示,一种气-水两相渗流应力敏感储层原始渗透率反演方法,具有如下步骤:As shown in Figure 1, a gas-water two-phase seepage stress-sensitive reservoir original permeability inversion method has the following steps:

在步骤(1)中,收集整理的必要数据包括:产水量qw、产气量qg、水气比fw、井底流压pwf等在内的气井现场生产数据;储层厚度h及原始地层压力条件下的孔隙度φi、气体滑脱因子bi等储层物性参数;不同压力条件下的流体粘度μg、μw及压缩系数Cg、Cw等流体物性参数;原始地层压力所对应的相渗曲线端点值(Swci、Sgri、krgendi、krwendi)、储层孔喉非等径系数λ及弯曲系数η等相渗曲线参数;储层绝对渗透率、孔隙度及相渗曲线端点值的应力敏感系数(α、γ、C、D、E、F)等。其中,本实施例中的水气比及井底流压数据如图2所示,收集到的部分其它基础参数如表1所示In step (1), the necessary data to be collected and sorted out include: field production data of gas wells including water production q w , gas production q g , water-gas ratio f w , bottomhole flow pressure p wf , etc.; reservoir thickness h and original Reservoir physical parameters such as porosity φ i and gas slippage factor b i under formation pressure; fluid physical parameters such as fluid viscosity μ g , μ w and compressibility coefficient C g , C w under different pressure conditions; Corresponding relative permeability curve endpoint values (S wci , S gri , k rgendi , k rwendi ), reservoir pore-throat anisotropy coefficient λ and bending coefficient η and other relative permeability curve parameters; absolute permeability, porosity and facies of reservoir The stress sensitivity coefficient (α, γ, C, D, E, F) of the end point value of the seepage curve, etc. Among them, the water-gas ratio and bottom hole flow pressure data in this embodiment are shown in Figure 2, and some other basic parameters collected are shown in Table 1

表1Table 1

在步骤(2)中,基于下式计算并绘制等效相渗曲线,如附图3所示:In step (2), calculate and draw equivalent relative permeability curve based on the following formula, as shown in accompanying drawing 3:

其中,分别为:in, and They are:

其中,krgE-p1<Sw>为某一压力(p1)及饱和度(Sw)下的气相等效相对渗透率;krwE-p1<Sw>为某一压力(p1)及饱和度(Sw)下的水相等效相对渗透率;krg-p1<Sw>为某一压力(p1)及饱和度(Sw)下的气相相对渗透率;krw-p1<Sw>为某一压力(p1)及饱和度(Sw)下的水相相对渗透率;bi为原始地层压力所对应的滑脱因子,MPa;B为滑脱因子回归系数;α为渗透率应力敏感系数,MPa-1;krgendi为原始地层压力下的气相相渗端点值;Sw为含水饱和度;Swci为原始地层压力下的束缚水饱和度;Sgri为原始地层压力下的残余气饱和度;λ为毛管分布指数;η为毛管弯曲系数;krwendi为原始地层压力下的水相相渗端点值;C为气相相渗端点值应力敏感系数;D为水相相渗端点值应力敏感系数;E为束缚水饱和度应力敏感系数;F为残余气饱和度应力敏感系数;p为指定地层压力,单位为MPa;pi为原始地层压力,单位为MPa;Among them, k rgE-p1 <S w > is the gas phase equivalent relative permeability at a certain pressure (p 1 ) and saturation (S w ); k rwE-p1 <S w > is a certain pressure (p 1 ) and water phase equivalent relative permeability at saturation (S w ); k rg-p1 <S w > is gas phase relative permeability at a certain pressure (p 1 ) and saturation (S w ); k rw-p1 <S w > is the relative permeability of the water phase at a certain pressure (p 1 ) and saturation (S w ); b i is the slippage factor corresponding to the original formation pressure, MPa; B is the slippage factor regression coefficient; α is Stress sensitivity coefficient of permeability, MPa -1 ; k rgendi is gas phase permeability endpoint value under original formation pressure; S w is water saturation; S wci is irreducible water saturation under original formation pressure; S gri is original formation pressure λ is the capillary distribution index; η is the capillary bending coefficient; k rwendi is the water phase permeability endpoint value under the original formation pressure; C is the gas phase permeability endpoint value stress sensitivity coefficient; E is the stress sensitivity coefficient of irreducible water saturation; F is the stress sensitivity coefficient of residual gas saturation; p is the specified formation pressure, in MPa; p i is the original formation pressure, in MPa;

在步骤(3)中,依据以下流程计算考虑气-水两相复杂渗流特征的改进拟压力:In step (3), the improved pseudo-pressure considering the complex seepage characteristics of gas-water two-phase is calculated according to the following procedure:

(a)、利用各时间点t所对应的产气量qg及产水量qw,计算各时间点对应的产水量与产气量比值qw/qg(a) Using the gas production q g and water production q w corresponding to each time point t, calculate the ratio q w /q g of water production and gas production corresponding to each time point;

(b)、以时间t1为例,在积分范围内选择第一个压力点p1,基于气相及水相物性参数与压力的关系式,计算该压力值所对应相关物性参数值(μg、Bg、μw、Bw)。(b) Taking time t 1 as an example, select the first pressure point p 1 within the integration range, and calculate the relevant physical property parameter value (μ g , B g , μ w , B w ).

(c)、利用下式,计算该压力p1条件下水相与气相等效相对渗透率的比值krwE/krgE(c) Using the following formula, calculate the ratio k rwE /k rgE of the effective relative permeability of the water phase and the gas phase under the condition of the pressure p 1 .

(d)、利用步骤(2)中所建立的不同压力条件下的等效相渗曲线,进一步确定各压力条件下水相等效相对渗透率与气相等效相对渗透率比值(krwE/krgE)随含水饱和度的变化特征。(d) Using the equivalent phase permeability curves established in step (2) under different pressure conditions, further determine the ratio of water phase equivalent relative permeability to gas phase equivalent relative permeability (k rwE /k rgE ) under each pressure condition Variation characteristics with water saturation.

(e)、结合步骤(c)及步骤(d)的结果,确定该压力点对应的含水饱和度值,并利用该饱和度,计算压力点p1对应的气相等效相对渗透率krgE及水相等效相对渗透率krwE(e), in combination with the results of step (c) and step (d), determine the water saturation value corresponding to the pressure point, and use the saturation to calculate the gas-phase equivalent relative permeability k rgE corresponding to the pressure point p1 and Water phase equivalent relative permeability k rwE .

(f)、在积分范围内选取下一个压力点p2,采用类似方法进行分析,获得压力点p2对应的气相等效相对渗透率及水相等效相对渗透率……依次类推,若在积分范围内选取的压力点数量足够多,即可建立压力值与气相及水相等效相对渗透率krgE或krwE的关系式,从而代入下式中实现对相关参数的数值积分,并获得适用于应力敏感储层气-水两相渗流的改进拟压力。(f) Select the next pressure point p 2 within the integration range, and use a similar method for analysis to obtain the gas-phase equivalent relative permeability and water-phase equivalent relative permeability corresponding to the pressure point p 2 ...and so on, if in the integration If the number of pressure points selected within the range is sufficient, the relationship between the pressure value and the equivalent relative permeability k rgE or k rwE of the gas phase and water phase can be established, and then substituted into the following formula to realize the numerical integration of the relevant parameters, and obtain the applicable Improved pseudopressure for gas-water two-phase seepage in stress-sensitive reservoirs.

其中,ψtwo为考虑应力敏感储层气-水两相复杂渗流特征的改进的拟压力,MPa/cp;p为压力,MPa;pa为参考压力,MPa;ρg为气相地下密度,kg/m3;ρw为水的地下密度,kg/m3;ρwsc为水的地面标准密度,kg/m3;krgE为气相等效相对渗透率;krwE为水相等效相对渗透率;μg为气体粘度,cp;μw为水的粘度,cp;qg为地面产气量,m3/d;qw为地面产水量,m3/d;Bg为气体体积系数;Bw为水的体积系数。Among them, ψ two is the improved pseudo-pressure considering the complex seepage characteristics of gas-water two-phase in stress-sensitive reservoirs, MPa/cp; p is the pressure, MPa; p a is the reference pressure, MPa; ρ g is the gas-phase subsurface density, kg /m 3 ; ρ w is the underground density of water, kg/m 3 ; ρ wsc is the surface standard density of water, kg/m 3 ; k rgE is the gas phase equivalent relative permeability; k rwE is the water phase equivalent relative permeability ; μ g is gas viscosity, cp; μ w is water viscosity, cp; q g is surface gas production, m 3 /d; q w is surface water production, m 3 /d; B g is gas volume coefficient; B w is the volume factor of water.

在步骤(3)中,依据以下流程计算考虑气-水两相复杂渗流特征的改进拟时间:In step (3), the improved pseudo time considering the complex seepage characteristics of gas-water two-phase is calculated according to the following process:

(a)、在积分范围内选择时间点t1,通过压力传播距离公式或流动物质平衡方法确定压力影响范围或储层内的平均地层压力进而确定该平均压力对应的相关气-水物性参数值(μg、Bg、μw、Bw)。(a) Select the time point t 1 within the integration range, and determine the pressure influence range or the average formation pressure in the reservoir by the pressure propagation distance formula or the flow material balance method Then determine the relevant gas-water physical parameter values (μ g , B g , μ w , B w ) corresponding to the average pressure.

(c)、基于步骤(2)中的等效相渗曲线,获得该平均压力条件下水相与气相的等效相对渗透率比值随含水饱和度的变化特征。(c), based on the equivalent phase permeability curve in step (2), obtain the equivalent relative permeability ratio of the water phase and the gas phase under the average pressure condition Variation characteristics with water saturation.

(d)、结合步骤(b)及(c)的结果,确定平均压力所对应的平均饱和度值,进而计算平均压力所对应的平均气相等效相对渗透率及平均水相等效相对渗透率 (d), combining the results of steps (b) and (c), determine the average saturation value corresponding to the average pressure, and then calculate the average pressure The corresponding average gas-phase equivalent relative permeability and the average horizontal equivalent relative permeability

(e)、在积分范围内选取下一个时间点t2,采用类似方法进行分析,获得t2时刻对应的气相平均等效相对渗透率及水相平均等效相对渗透率……依次类推,若在积分范围内选取的时间点数量足够多,即可建立时间与平均气相及水相等效相对渗透率的关系式,从而代入下式中实现对相关参数的数值积分,并获得适用于应力敏感储层气-水两相渗流的改进拟时间。(e) Select the next time point t 2 within the integration range, and use a similar method for analysis to obtain the average equivalent relative permeability of the gas phase and the average equivalent relative permeability of the water phase corresponding to the time t 2 ... and so on, if The number of time points selected in the integration range is sufficient, and the time and average gas and water phase equivalent relative permeability can be established In order to realize the numerical integration of relevant parameters, and obtain the improved pseudo time suitable for gas-water two-phase seepage in stress-sensitive reservoirs.

其中,t为真实时间,d;为平均地层压力,MPa;为平均压力所对应的气相等效相对渗透率;为平均压力所对应的气相等效相对渗透率;Ct-two为气水两相综合压缩系数,MPa-1;Sg为气相饱和度;Cg为气体压缩系数,MPa-1;Cw为水的压缩系数,MPa-1;Cp为岩石孔隙压缩系数,MPa-1,ttwo为考虑应力敏感储层气-水两相复杂渗流特征的改进的拟时间,d;ta为参考时间,d;为平均压力所对应的气相地下密度,kg/m3为平均压力所对应的水相地面标准密度,kg/m3为平均压力所对应的气相等效相对渗透率;为平均压力所对应的水相等效相对渗透率;μg为气体粘度,cp;μw为水的粘度,cp;为平均压力所对应的气体粘度,cp;为平均压力所对应的水的粘度,cp;Ct-twoi为原始地层压力下的气水两相综合压缩系数,MPa-1为平均压力所对应的气水两相综合压缩系数,MPa-1in, t is real time, d; is the average formation pressure, MPa; is the gas-phase equivalent relative permeability corresponding to the average pressure; is the gas phase equivalent relative permeability corresponding to the average pressure; C t-two is the gas-water two-phase comprehensive compressibility coefficient, MPa -1 ; S g is the gas phase saturation; C g is the gas compressibility coefficient, MPa -1 ; C w is the compressibility coefficient of water, MPa -1 ; C p is the compressibility coefficient of rock pores, MPa -1 , t two is the improved pseudo time considering the complex seepage characteristics of gas-water two-phase in stress-sensitive reservoirs, d; t a is the reference time, d; is the underground density of gas phase corresponding to the average pressure, kg/m 3 ; is the standard density of water phase ground corresponding to the average pressure, kg/m 3 ; is the gas-phase equivalent relative permeability corresponding to the average pressure; is the water equivalent relative permeability corresponding to the average pressure; μ g is the gas viscosity, cp; μ w is the water viscosity, cp; is the gas viscosity corresponding to the average pressure, cp; is the viscosity of water corresponding to the average pressure, cp; C t-twoi is the comprehensive compressibility coefficient of gas-water two-phase under the original formation pressure, MPa -1 ; is the comprehensive compressibility coefficient of gas-water two-phase corresponding to the average pressure, MPa -1 .

在步骤(4)中,由于本实施例为定产气量生产,因此以横坐标为lg(ttwo),而纵坐标为绘制改进的根号下时间曲线,如附图4所示。In step (4), since the present embodiment is the production of fixed gas production, the abscissa is lg(t two ), and the ordinate is Draw the improved time curve under the root sign, as shown in Figure 4.

其中,ψtwoi为原始地层压力所对应的改进拟压力;ψtwowf为井底流压所对应的改进拟压力;qtwo为气-水总产量。Among them, ψ twoi is the improved pseudo-pressure corresponding to the original formation pressure; ψ twowf is the improved pseudo-pressure corresponding to the bottomhole flowing pressure; q two is the total gas-water production.

步骤(5)中,基于改进的半对数曲线上拟径向流阶段数据点所回归得到的直线斜率mtwo-r,利用原始渗透率计算公式计算得到应力敏感储层的原始渗透率为0.098mD。In step (5), based on the linear slope m two-r obtained by regression of data points in the quasi-radial flow stage on the improved semi-logarithmic curve, the original permeability calculation formula is used The calculated original permeability of the stress-sensitive reservoir is 0.098mD.

其中,mtwo-r为改进的根号下时间曲线上地层线性流阶段数据点所回归得到的直线斜率;h为气层有效厚度m;ki为原始地层压力条件下的原始渗透率mD。Among them, m two-r is the slope of the straight line obtained by regression of the data points in the formation linear flow stage on the improved square root time curve; h is the effective thickness of the gas layer m; ki is the original permeability mD under the original formation pressure condition.

以上述依据本发明的理想实施例为启示,通过上述的说明内容,相关工作人员完全可以在不偏离本项发明技术思想的范围内,进行多样的变更以及修改。本项发明的技术性范围并不局限于说明书上的内容,必须要根据权利要求范围来确定其技术性范围。Inspired by the above-mentioned ideal embodiment according to the present invention, through the above-mentioned description content, relevant workers can make various changes and modifications within the scope of not departing from the technical idea of the present invention. The technical scope of the present invention is not limited to the content in the specification, but must be determined according to the scope of the claims.

Claims (3)

1. A gas-water two-phase seepage stress sensitive reservoir original permeability inversion method is characterized by comprising the following steps:
(1) collecting and sorting daily production data, reservoir physical properties, fluid physical properties, gas-water phase permeability data and stress sensitive data of a gas well;
(2) calculating equivalent gas-water phase seepage curves comprehensively considering gas-water phase complex seepage characteristics such as phase seepage curve stress sensitivity, absolute permeability stress sensitivity, dynamic slippage effect and the like under different pressure conditions;
(3) calculating improved pseudo-pressure and pseudo-time considering the gas-water two-phase complex seepage characteristics of the stress sensitive reservoir according to the following formula by using the equivalent gas-water phase seepage curve and combining with the gas well production data;
wherein psitwoThe improved pseudo pressure, MPa/cp, for considering the gas-water two-phase complex seepage characteristic of the stress sensitive reservoir; t is ttwoD, simulating time for considering improvement of the gas-water two-phase complex seepage characteristic of the stress-sensitive reservoir; p is pressure, MPa; p is a radical ofaReference pressure, MPa; t is the real time, d; t is taIs a reference time, d; rhogIs gas phase underground density, kg/m3;ρwIs the underground density of water, kg/m3;ρwscIs the ground standard density of water, kg/m3Is the gas phase underground density corresponding to the average pressure, kg/m3Is the standard density of the water phase ground corresponding to the average pressure, kg/m3;krgEIs the gas phase equivalent relative permeability; k is a radical ofrwEIs the water phase equivalent relative permeability;the gas phase equivalent relative permeability corresponding to the average pressure;the equivalent relative permeability of the water phase corresponding to the average pressure; mu.sgIs the gas viscosity, cp; mu.swViscosity of water, cp; mu.sgiGas viscosity at virgin formation pressure, cp;gas viscosity, cp, corresponding to the average pressure;viscosity of water, cp, corresponding to the average pressure; ct-twoiIs the gas-water two-phase comprehensive compression coefficient under the original formation pressure, MPa-1Is the gas-water two-phase comprehensive compression coefficient corresponding to the average pressure, MPa-1
(4) Based on the improved quasi-pressure and quasi-time obtained by calculation, drawing and utilizing the improved semilogarithmic curve to identify quasi-radial flow;
(5) and performing linear regression on scattered points on the curve, and realizing inversion of the original permeability by using a reservoir original permeability calculation model according to the linear slope obtained by the regression.
2. The gas-water two-phase seepage stress sensitive reservoir original permeability inversion method according to claim 1, characterized in that: when the improved time under root curve is plotted in step (4), the abscissa is lg (t) when the gas well is produced for a fixed gas contenttwo) And lg (t) on the abscissa when gas well gas production is not constantsr-two) And the ordinate isAbscissa lg (t) in the case of variable gas productionsr-two) The calculation can be carried out using the following formula,
wherein psitwoiFor improved pseudo-pressure corresponding to original formation pressureForce; psitwowfThe improved pseudo pressure corresponding to the bottom hole flowing pressure; q. q.stwoIs the total gas-water yield; t is tsr-twoSimulating time for improved material balance corresponding to the simulated radial flow stage for converting variable yield conditions to constant yield conditions in days (d); n is the total number of data points.
3. The gas-water two-phase seepage stress sensitive reservoir original permeability inversion method according to claim 1, characterized in that: in the step (5), the slope m of the straight line obtained based on the regressiontwo-rThe calculation model of the original permeability is
Wherein m istwo-rThe slope of a straight line obtained by regression of data points at the formation linear flow stage on the improved time curve under the root is obtained; h is the effective thickness m of the gas layer; k is a radical ofiIs the original permeability mD at the original formation pressure conditions.
CN201711304207.8A 2017-12-11 2017-12-11 A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method Withdrawn CN108133087A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711304207.8A CN108133087A (en) 2017-12-11 2017-12-11 A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711304207.8A CN108133087A (en) 2017-12-11 2017-12-11 A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method

Publications (1)

Publication Number Publication Date
CN108133087A true CN108133087A (en) 2018-06-08

Family

ID=62389102

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711304207.8A Withdrawn CN108133087A (en) 2017-12-11 2017-12-11 A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method

Country Status (1)

Country Link
CN (1) CN108133087A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111027892A (en) * 2019-12-27 2020-04-17 中国石油大学(北京) Method and device for determining reservoir permeability of gas well and server
CN111191183A (en) * 2020-01-09 2020-05-22 中国石油大学(北京) Reservoir parameter calculation method, device and equipment
CN111413263A (en) * 2020-05-06 2020-07-14 西安理工大学 Triaxial instrument for joint determination of water-vapor movement in unsaturated soil
CN111810119A (en) * 2020-07-21 2020-10-23 重庆科技学院 A method for calculating the productivity of gas wells in high-pressure carbonate gas reservoirs with water
CN113672851A (en) * 2020-05-14 2021-11-19 中国石油化工股份有限公司 Gas reservoir water production gas well parameter prediction method and device, electronic equipment and medium

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111027892A (en) * 2019-12-27 2020-04-17 中国石油大学(北京) Method and device for determining reservoir permeability of gas well and server
CN111027892B (en) * 2019-12-27 2023-04-18 中国石油大学(北京) Method and device for determining reservoir permeability of gas well and server
CN111191183A (en) * 2020-01-09 2020-05-22 中国石油大学(北京) Reservoir parameter calculation method, device and equipment
CN111413263A (en) * 2020-05-06 2020-07-14 西安理工大学 Triaxial instrument for joint determination of water-vapor movement in unsaturated soil
CN113672851A (en) * 2020-05-14 2021-11-19 中国石油化工股份有限公司 Gas reservoir water production gas well parameter prediction method and device, electronic equipment and medium
CN111810119A (en) * 2020-07-21 2020-10-23 重庆科技学院 A method for calculating the productivity of gas wells in high-pressure carbonate gas reservoirs with water
CN111810119B (en) * 2020-07-21 2022-06-28 重庆科技学院 A method for calculating the productivity of gas wells in high-pressure carbonate gas reservoirs with water

Similar Documents

Publication Publication Date Title
CN108133086A (en) Water Fractured Gas Wells fracture half-length&#39;s inversion method is produced in a kind of stress sensitive reservoir
CN108133087A (en) A kind of Gas-water phases seepage stress sensitivity reservoir original permeability inversion method
CN104018829B (en) A kind of method that utilization coal bed gas well creation data measures air water phase percolation curve
CN104899411B (en) A kind of reservoir productivity prediction model method for building up and system
CN105930932B (en) The acquisition methods of shale gas-bearing formation standardization open-flow capacity based on gassiness index
CN101413388A (en) Method for obtaining oil-water common-layer original oil-containing saturation degree and method for estimating non-test oil-water common-layer original oil-containing saturation degree
CN104695950A (en) Prediction method for volcanic rock oil reservoir productivity
CN106932324B (en) A kind of method of determining High water cut sandstone oil reservoir reservoir permeability changing rule
CN110043254B (en) Method for obtaining stratum effective permeability based on cable stratum test data
CN108194077B (en) Gas logging total hydrocarbon correction method
CN108150149A (en) A kind of stress sensitive reservoir water-producing gas well dynamic playback method
CN117077419B (en) Novel formation pressure analysis method for fracture-cavity oil reservoir
CN113338904B (en) A method for evaluating the productivity of offshore oil wells
CN108153944A (en) A kind of stress sensitive reservoir water-producing gas well natural gas single well controlled reserves determine method
CN107762483A (en) A kind of Fluid Identification Method of coefficient correlation and envelope size based on log
Ataei et al. Rate transient analysis RTA and its application for well connectivity analysis: an integrated production driven reservoir characterization and a case study
CN119047343B (en) Wellbore stability control method, device, equipment and storage medium for dynamically adjusting drilling fluid ratio
CN107725035B (en) Pressure monitoring method for judging water incoming direction of non-uniform liquid production horizontal well
CN108664677B (en) Oil and gas well production data analysis method
CN103046925B (en) Binomial-based method and system for acquiring absolute unobstructed flow of condensate gas reservoir
CN109138986A (en) Unit volume rock void fraction quantitative interpretation evaluation method
CN108412488A (en) Quickly determine the logging method of shale gas reservoir organic porosity
CN103422852A (en) Method of conversion and comparison for gas-logging values of different wells
Tillero Stepping forward: An automated rock type index and a new predictive capillary pressure function for better estimation of permeability and water saturation. Case study, Urdaneta-01 heavy oil reservoir
Shchipanov et al. A new approach to deformable fractured reservoir characterization: case study of the Ekofisk field

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20180608