CN106295095A - New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity - Google Patents

New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity Download PDF

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CN106295095A
CN106295095A CN201510250170.XA CN201510250170A CN106295095A CN 106295095 A CN106295095 A CN 106295095A CN 201510250170 A CN201510250170 A CN 201510250170A CN 106295095 A CN106295095 A CN 106295095A
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low permeability
pressure
production capacity
prediction
sandstone reservoir
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CN106295095B (en
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傅爱兵
张莉
杨永红
王敏
朱家俊
郝雪峰
李英英
田敏
方丽
位江红
苗春欣
关丽
倪自高
刘华夏
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Henan Oilfield Branch Co
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Henan Oilfield Branch Co
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Abstract

The present invention provides a kind of new method based on Conventional Logs prediction low permeability sandstone reservoir production capacity, should include based on the new method of Conventional Logs prediction low permeability sandstone reservoir production capacity: step 1, combine well-log information according to core analyzing data, obtain underlying parameter；Step 2, determines flow coefficient, free-boundary problem；Step 3, utilizes multiple regression to set up yield Quantitative Prediction Model；Step 4, sets up capability forecasting simplicity plate, is predicted low permeability sandstone reservoir production capacity；Step 5, sets up pressure break and selects layer plate, evaluates low permeability sandstone reservoir the need of carrying out pressure break；Step 6, sets up post-flush production prediction plate, post-flush production is carried out quantitative forecast.Current oil field high degree of prospecting stage hypotonic saturating sandstone reservoir evaluating production capacity and the difficulty of prediction should be solved, it is achieved that low permeability sandstone reservoir production capacity is qualitative and quantitative assessment based on new method of Conventional Logs prediction low permeability sandstone reservoir production capacity.

Description

New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity
Technical field
The present invention relates to oil exploration technology field, especially relate to a kind of based on Conventional Logs prediction hyposmosis sand The new method of rock reservoir productivity.
Background technology
Started both at home and abroad the research of low permeability reservoir evaluating production capacity earlier, but be mostly the macroscopical geology to low permeability reservoir and The qualitative description of micro-flow characteristics.Forefathers from geology, well logging, stratum, the many-sides such as change carried out comprehensive study, Achieve important understanding and achievement, oil-gas exploration has played important function, be concentrated mainly on the following aspects: 1. lead to Cross having been found that low-permeability oil deposit geologic feature is studied, specify that low-permeability oil deposit sedimentation type and Dominated Factors；2. low Permeable reservoir strata seepage theory aspect, imbibition mechanism is goed deep into by Chinese scholars by substantial amounts of experiment and theoretical research Ground is analyzed and establishes the imbibition mathematical model of some low-permeability fissured oil reservoir, and result of study shows in low infiltration sandrock There is obvious non-darcy flow；The most different low-permeability oil deposits, the rock core that perm-plug method is close, due to throat size Different with the regularity of distribution, it is the biggest that water surveys permeability contrast.Under reservoir conditions, it is not constant that the water of rock core surveys permeability, But with the parameter of barometric gradient change.More domestic oil fields define some for low permeability reservoir production capacity and scheme targetedly Version, can predict production capacity effectively, has preferable reference to current low permeability sandstone reservoir evaluating production capacity and instructs meaning Justice, but the most do not utilize the technology of well-log information intutive forecasting production capacity at present.We have invented for this kind of new based on The new method of Conventional Logs prediction low permeability sandstone reservoir production capacity, solves above technical problem.
Summary of the invention
It is an object of the invention to provide one and utilize well-log information, return for different sedimentation type low permeability sandstone reservoirs Production Forecast Models, what finishing drilling well yield carried out quantitative forecast predicts low permeability sandstone reservoir based on Conventional Logs The new method of production capacity.
The purpose of the present invention can be achieved by the following technical measures: predicts low permeability sandstone reservoir based on Conventional Logs The new method of production capacity, should include based on the new method of Conventional Logs prediction low permeability sandstone reservoir production capacity: step 1, root Combine well-log information according to core analyzing data, obtain underlying parameter；Step 2, determines flow coefficient, free-boundary problem； Step 3, utilizes multiple regression to set up yield Quantitative Prediction Model；Step 4, sets up capability forecasting simplicity plate, to hypotonic Sandstone reservoir production capacity is predicted thoroughly；Step 5, sets up pressure break and selects layer plate, evaluates low permeability sandstone reservoir the need of entering Row pressure break；Step 6, sets up post-flush production prediction plate, post-flush production is carried out quantitative forecast.
The purpose of the present invention realizes also by following technical measures:
In step 1, air permeability K, core intersection h are obtained by conventional logging explanation；Obtained by crude oil analysis data Obtain ground viscosity of crude μ；Free-boundary problem λ is obtained by free-boundary problem experiment；Examination is obtained by formation testing data Oil daily oil production q of target zone, strata pressure PeWith flowing pressure Pw。
In step 2, air permeability K, core intersection h and the ground viscosity of crude μ obtained is utilized to calculate the flowing of reservoir Coefficient；Use strata pressure PeWith flowing pressure PwCalculate producing pressure differential Δ P, with daily oil production q, producing pressure differential Δ P and oil reservoir Thickness h calculates reservoir productivity index per meter ηo。
In step 2, flow coefficient refers to the ratio of formation capacity K*h and underground viscosity of crude μ, represents that fluid is in rock stratum The complexity of middle flowing；Formation capacity is the product of Effective thickness of formation h and air permeability K；Producing pressure differential Δ P refers to Strata pressure PeWith flowing pressure PwDifference；Productivity index per meter ηoRefer under production of units pressure differential deltap P, unit reservoir thick Oil well daily oil production q of degree h.
In step 3, based on hyposmosis non-darcy flow, it is considered to the constant-pressure boundary circle oil reservoir center a bite starting pressure is hung down The well yield formula of straight well:
Q = 2 πKh [ ( P e - P wf ) - λ ( r e - r w ) ] μ ln ( r e r w ) - - - ( 1 )
In formula: Q well yield, m3/d；
Pe, PwfSupply boundary pressure and producing well flowing bottomhole pressure (FBHP), MPa；
re, rwDrainage radius, wellbore radius, m；
K reservoir effective permeability, mD；
H reservoir thickness, m；
μ FFV, mPa s；
λ free-boundary problem, MPa/m；
The all parameters utilizing above-mentioned acquisition draw the quantitative relation formula of flow coefficient and productivity index per meter:
LOG ( η o ) = 0.7097 × LOG ( K o × h μ o ) - 0.9696 × λ - 1.9688 - - - ( 2 )
Correlation coefficient, R=0.902
In formula: ηoProductivity index, t/MPa d
KoOil reservoir oleic permeability, mD
H effective pay thickiness, m
μoOil reservoir oil viscosity, mPa s
λ free-boundary problem, MPa/m.
In step 4, predict that low permeability sandstone reservoir production capacity is carried out according to the quantitative relationship of flow coefficient with productivity index per meter Prediction, it was predicted that individual well layer is daily oil production under different producing pressure differentials.
In steps of 5, according to the flow coefficient of individual well layer, utilize flow coefficient and pressure coefficient to set up cross plot, be used for commenting Valency low permeability sandstone reservoir is the need of carrying out pressure break.
In step 6, for needing the well layer of pressure break, according to determining of the flow coefficient after formation fracturing and productivity index per meter Magnitude relation, for difference seam pressure reduction lower day long, different oil-producing prognostic chart version, carries out quantitative forecast to post-flush production.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity in the present invention, for low permeability reservoir The difficult problem that fracturing methods risk is high, it is proposed that the pressure break combined with production capacity with geologic(al) factor, reservoir factor selects layer evaluation figure Version and production forecast plate, it is achieved the qualitative and quantitative assessment of production capacity after low permeability sandstone reservoir pressure break.The method utilizes rock The heart, log well, the data such as test determine the parameter that capability forecasting is relevant, on this basis, the method utilizing multiple regression, Productivity prediction model and production forecast plate before pressure break is set up for the low permeability sandstone reservoir of different sedimentation types.For improving The production capacity of low permeability reservoir, it is necessary to the well that on the block that preferably petroleum-geologic condition is good, reserves abundance is high, physical property is good, in skill On the basis of art economic evaluation, for different geological conditions, select optimal pressure break mode, reach the mesh of fracturing yield increasing 's.The preferably parameter of pressure break well and story selecting, so the most effective after qualitatively judging wellfracturing, and to needing pressure break Well layer, sets up post-flush production Quantitative Prediction Model.This invention utilizes Conventional Logs prediction low permeability sandstone reservoir to produce The new method of energy, solves current oil field high degree of prospecting stage hypotonic saturating sandstone reservoir evaluating production capacity and the difficulty of prediction, Achieve that low permeability sandstone reservoir production capacity is qualitative and quantitative assessment.
Accompanying drawing explanation
Fig. 1 is that the one of the new method based on Conventional Logs prediction low permeability sandstone reservoir production capacity of the present invention is embodied as The flow chart of example；
Fig. 2 be the present invention a specific embodiment in dam, Dongying Depression s_4 formation beach sand low permeability reservoir production forecast plate；
Fig. 3 is that a specific embodiment Zhong Tan dam sand pressure break of the present invention selects layer to evaluate plate；
Fig. 4 be the present invention a specific embodiment in dam, the Dongying Depression s_4 formation beach sand reservoir long flow coefficient of difference dummy joint with Day oil-producing graph of a relation.
Detailed description of the invention
For making the above and other objects, features and advantages of the present invention to become apparent, cited below particularly go out preferred embodiment, And coordinate shown in accompanying drawing, it is described in detail below.
As it is shown in figure 1, the new method based on Conventional Logs prediction low permeability sandstone reservoir production capacity that Fig. 1 is the present invention Flow chart.
Step 101: combine well-log information according to core analyzing data, obtains underlying parameter.Explained by conventional logging and obtain Air permeability K, core intersection h；Ground viscosity of crude μ is obtained by crude oil analysis data；Pass through free-boundary problem Experiment obtains free-boundary problem λ；The day oil-producing of formation testing target zone, strata pressure P is obtained by formation testing datacWith flowing pressure Power Pw。
Step 102: determine flow coefficient, free-boundary problem.Utilize air permeability K, core intersection h and the ground obtained Face viscosity of crude μ calculates the flow coefficient of reservoir；Use strata pressure PeWith flowing pressure PwCalculate producing pressure differential Δ P, with day Oil-producing, producing pressure differential and core intersection calculate reservoir productivity index per meter ηo。
Described flow coefficient refers to the ratio of formation capacity (k*h) and underground viscosity of crude (μ), represents that fluid is in rock stratum The complexity of middle flowing.Formation capacity is the product of Effective thickness of formation (h) and permeability (k).
Described producing pressure differential Δ P refers to strata pressure PeWith flowing pressure PwDifference.
Described productivity index per meter ηoRefer to the oil well day oil-producing of (Δ P) under production of units pressure reduction, unit reservoir thickness (h) Amount (q).
Step 103: utilize multiple regression to set up yield Quantitative Prediction Model.Based on hyposmosis non-darcy flow, it is considered to start The well yield formula (not considering skin factor) (1) of constant-pressure boundary circle oil reservoir center a bite peupendicular hole of pressure, profit The quantitative relation formula (2) of flow coefficient and productivity index per meter is drawn by all parameters of above-mentioned acquisition.
Q = 2 πKh [ ( P e - P wf ) - λ ( r e - r w ) ] μ ln ( r e r w ) - - - ( 1 )
In formula: Q well yield, m3/d；
Pe, PwfSupply boundary pressure and producing well flowing bottomhole pressure (FBHP), MPa；
re, rwDrainage radius, wellbore radius, m；
K reservoir effective permeability, mD；
H reservoir thickness, m；
μ FFV, mPa s；
λ free-boundary problem, MPa/m；
LOG ( η o ) = 0.7097 × LOG ( K o × h μ o ) - 0.9696 × λ - 1.9688 - - - ( 2 )
Correlation coefficient, R=0.902
In formula: ηoProductivity index, t/MPa d
KoOil reservoir oleic permeability, mD
H effective pay thickiness, m
μoOil reservoir oil viscosity, mPa s
λ free-boundary problem, MPa/m.
Step 104: low permeability sandstone reservoir production capacity is entered according to the quantitative relationship of described flow coefficient with productivity index per meter Row prediction.Also can get yield quantitative forecast plate simultaneously, carry out individual well layer daily oil production under different producing pressure differentials Prediction.As shown in Figure 2, in accompanying drawing 2, flow coefficient determined by basis and the quantitative relationship of productivity index per meter, set up Yield quantitative forecast plate, carries out the prediction of daily oil production under different producing pressure differentials of individual well layer.
Step 105: according to the flow coefficient of described individual well layer, utilizes flow coefficient and pressure coefficient to set up cross plot, uses In evaluating low permeability sandstone reservoir the need of carrying out pressure break, as shown in Figure 3.
Step 106: after sentencing knowledge according to above-mentioned plate, for needing the well layer of pressure break, according to the flow coefficient after formation fracturing With the quantitative relationship of productivity index per meter, for difference seam pressure reduction lower day long, different oil-producing prognostic chart version, produce after pressure break Amount carries out quantitative forecast, as shown in Figure 4.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity in the present invention, provides in conjunction with core analysis Material and test data, return the capability forecasting plate setting up a series of practicability and effectiveness based on well-log information, and with Dongying Depression Prediction checking has been carried out, it was predicted that result is good with actual test result concordance as a example by dam, beach sand reservoir.

Claims (8)

1. new method based on Conventional Logs prediction low permeability sandstone reservoir production capacity, it is characterised in that should be based on conventional logging The new method of data prediction low permeability sandstone reservoir production capacity includes:
Step 1, combines well-log information according to core analyzing data, obtains underlying parameter；
Step 2, determines flow coefficient, free-boundary problem；
Step 3, utilizes multiple regression to set up yield Quantitative Prediction Model；
Step 4, sets up capability forecasting simplicity plate, is predicted low permeability sandstone reservoir production capacity；
Step 5, sets up pressure break and selects layer plate, evaluates low permeability sandstone reservoir the need of carrying out pressure break；
Step 6, sets up post-flush production prediction plate, post-flush production is carried out quantitative forecast.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 1, its feature It is, in step 1, is explained by conventional logging and obtain air permeability K, core intersection h；By crude oil analysis data Obtain ground viscosity of crude μ；Free-boundary problem λ is obtained by free-boundary problem experiment；Obtained by formation testing data Daily oil production q of formation testing target zone, strata pressure PeWith flowing pressure Pw。
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 2, its feature It is, in step 2, utilizes air permeability K, core intersection h and the ground viscosity of crude μ that obtain to calculate the stream of reservoir Dynamic coefficient；Use strata pressure PeWith flowing pressure PwCalculate producing pressure differential Δ P, with daily oil production q, producing pressure differential Δ P and oil Layer thickness h calculates reservoir productivity index per meter ηo。
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 3, its feature Being, in step 2, flow coefficient refers to the ratio of formation capacity K*h and underground viscosity of crude μ, represents that fluid is at rock The complexity of flowing in Ceng；Formation capacity is the product of Effective thickness of formation h and air permeability K；Producing pressure differential Δ P is Refer to strata pressure PeWith flowing pressure PwDifference；Productivity index per meter ηoRefer under production of units pressure differential deltap P, unit reservoir Oil well daily oil production q of thickness h.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 1, its feature It is, in step 3, based on hyposmosis non-darcy flow, it is considered to start the constant-pressure boundary circle oil reservoir center of pressure flatly The well yield formula of peupendicular hole:
Q = 2 πKh [ ( P e - P wf ) - λ ( r e - r w ) ] μ ln ( r e r w ) - - - ( 1 )
In formula: Q well yield, m3/d；
Pe, PwfSupply boundary pressure and producing well flowing bottomhole pressure (FBHP), MPa；
re, rwDrainage radius, wellbore radius, m；
K reservoir effective permeability, mD；
H reservoir thickness, m；
μ FFV, mPa s；
λ free-boundary problem, MPa/m；
The all parameters utilizing above-mentioned acquisition draw the quantitative relation formula of flow coefficient and productivity index per meter:
LOG ( η o ) = 0.7097 × LOG ( K o × h μ o ) - 0.9696 × λ - 1.9688 - - - ( 2 )
Correlation coefficient, R=0.902
In formula: ηoProductivity index, t/MPa d
KoOil reservoir oleic permeability, mD
H effective pay thickiness, m
μoOil reservoir oil viscosity, mPa s
λ free-boundary problem, MPa/m.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 1, its feature It is, in step 4, predicts that low permeability sandstone reservoir production capacity is entered according to the quantitative relationship of flow coefficient with productivity index per meter Row prediction, it was predicted that individual well layer is daily oil production under different producing pressure differentials.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 1, its feature It is, in steps of 5, according to the flow coefficient of individual well layer, utilizes flow coefficient and pressure coefficient to set up cross plot, be used for Evaluate low permeability sandstone reservoir the need of carrying out pressure break.
New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity the most according to claim 1, its It is characterised by, in step 6, for needing the well layer of pressure break, refers to every meter of oil recovery according to the flow coefficient after formation fracturing The quantitative relationship of number, for difference seam pressure reduction lower day long, different oil-producing prognostic chart version, carries out the most pre-to post-flush production Survey.
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CN107965315A (en) * 2017-11-24 2018-04-27 中国石油大港油田勘探开发研究院 A kind of low-permeability oil deposit PRODUCTION FORECASTING METHODS
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