CN115600354A - Identification and evaluation method for dessert in heterogeneous reservoir - Google Patents

Identification and evaluation method for dessert in heterogeneous reservoir Download PDF

Info

Publication number
CN115600354A
CN115600354A CN202110768058.0A CN202110768058A CN115600354A CN 115600354 A CN115600354 A CN 115600354A CN 202110768058 A CN202110768058 A CN 202110768058A CN 115600354 A CN115600354 A CN 115600354A
Authority
CN
China
Prior art keywords
reservoir
coefficient
evaluation
oil
block
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.)
Pending
Application number
CN202110768058.0A
Other languages
Chinese (zh)
Inventor
何颂根
李永明
王兴文
尹琅
林永茂
颜晋川
杨永华
栗铁峰
王峻峰
滕小兰
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.)
China Petroleum and Chemical Corp
Sinopec Southwest Oil and Gas Co
Original Assignee
China Petroleum and Chemical Corp
Sinopec Southwest Oil and Gas Co
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 China Petroleum and Chemical Corp, Sinopec Southwest Oil and Gas Co filed Critical China Petroleum and Chemical Corp
Priority to CN202110768058.0A priority Critical patent/CN115600354A/en
Publication of CN115600354A publication Critical patent/CN115600354A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention provides a method for identifying and evaluating desserts in a heterogeneous reservoir, which comprises the steps of obtaining evaluation factors of a reservoir of a well to be evaluated, and respectively calculating four evaluation coefficients according to the evaluation factors; and calculating the comprehensive sweet spot coefficient of the reservoir according to the four evaluation coefficients. The four evaluation coefficients comprise a reservoir oil-gas content coefficient, a reservoir physical property coefficient, a reservoir fracture development coefficient and a reservoir compressibility coefficient. According to the method, easily-obtained key parameters are selected from four dimensions of oil-gas-containing property, physical property, crack development property and compressibility which influence the well modification effect of the reservoir and are comprehensively evaluated, so that the problem of dessert identification and evaluation of heterogeneous compact and unconventional reservoirs is solved.

Description

Identification and evaluation method for dessert in heterogeneous reservoir
Technical Field
The invention relates to a method for identifying and evaluating a dessert in a heterogeneous reservoir, and belongs to the field of petroleum and natural gas.
Background
The reservoir sweet spot reflects the high-quality degree of the reservoir which can be effectively exploited and used, and becomes an important basis for well selection, layer selection, development scheme, reservoir transformation mode and process parameter selection. With the deep exploration and development of petroleum, low-abundance, low-grade, deep-layer and unconventional oil and gas reservoirs become more and more the main objects of concern. Due to the comprehensive action of deposition characteristics and structural evolution, the sandstone with high density, carbonate and shale have obvious heterogeneity. The method is embodied in different positions of a block and different intervals of the same well, and all parameters of engineering geology have obvious difference, so that great challenge is brought to the pertinence of scheme design.
In the traditional evaluation of the reservoir dessert, reservoir geological factors are mainly considered, and good development effects can be obtained by starting from geological factors such as structure position, oil-gas content and the like and optimizing geological parameters. With the increase of development depth and the continuous breakthrough of the lower quality limit of a development object, the existing development of more and more dense oil gas and shale oil gas can obtain economic productivity by large-scale reservoir transformation. The pertinence and the effectiveness of one well and one section of the reservoir transformation scheme directly determine the yield increasing effect after the pressing. Thus, a comprehensive dessert assessment that takes geological and engineering factors into account is even more urgent.
Therefore, the conventional dessert evaluation method for independently evaluating reservoir geological factors is not suitable for compact and unconventional reservoirs. Reservoir evaluation of modified wells urgently requires a comprehensive evaluation method capable of accurately considering engineering desserts.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a dessert identification and evaluation method for a heterogeneous reservoir, which is used for selecting easily-obtained key parameters from four dimensions of oil-gas-containing property, physical property, crack development and compressibility which influence the well modification effect of the reservoir and carrying out comprehensive evaluation so as to solve the dessert identification and evaluation problems of heterogeneous compact and unconventional reservoirs.
The invention provides a method for identifying and evaluating a dessert in a heterogeneous reservoir, which comprises the following steps:
obtaining evaluation factors of a reservoir of a well to be evaluated, and respectively calculating four evaluation coefficients according to the evaluation factors;
and calculating the comprehensive sweet-spot coefficient of the reservoir according to the four evaluation coefficients.
The four evaluation coefficients comprise a reservoir oil-gas content coefficient, a reservoir physical property coefficient, a reservoir fracture development coefficient and a reservoir compressibility coefficient.
The invention is further improved in that the reservoir evaluation factors include total hydrocarbon content, oil and gas saturation, porosity, permeability, mud loss, deep direction resistivity, shallow direction resistivity, longitudinal wave moveout, transverse wave moveout, minimum horizontal principal stress, young's modulus, and fracture pressure.
A further improvement of the invention is that the total hydrocarbon content C of the reservoir is determined n Oil and gas saturation S og Oil and gas content coefficient of reservoir F og The following formula is satisfied:
Figure BDA0003151478490000021
in the formula, C nmax 、C nmin Respectively the total hydrocarbon content C of the reservoir in the block n The highest value and the lowest value of (c); s ogmax 、 S ogmin Respectively the oil-gas saturation S of the reservoir in the block og The highest value and the lowest value of (c); w is a og1 、w og2 Respectively representing the total hydrocarbon content C n And oil and gas saturation S og And w, and og1 +w og2 ＝1。
the invention is further improved in that the reservoir property coefficient F is calculated according to the porosity phi and the permeability K of the reservoir and the following formula p ：
Figure BDA0003151478490000022
In the formula, phi max 、φ min Respectively the highest value and the lowest value of the porosity phi of the reservoir layer in the block; k max 、K min Respectively the highest value and the lowest value of the permeability K of the reservoir stratum of the block; w is a p1 、w p2 Respectively representing the influence weights of porosity phi and permeability K, and w p1 +w p2 ＝1。
A further improvement of the invention is that the amount of mud lost-out V from the reservoir L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Coefficient of reservoir fracture development F f The following formula is satisfied:
Figure BDA0003151478490000023
wherein:
Figure BDA0003151478490000024
in the formula, V Lmax 、V Lmin Respectively the mud leakage of the reservoir stratum of the block V L The highest value and the lowest value of (c); r t 、R s Dividing the resistivity into deep direction-finding resistivity and shallow direction-finding resistivity; r tsmax 、R tsmin Respectively the depth resistance ratio R of the reservoir layer of the block ts The highest value and the lowest value of (c); v p 、V s Of longitudinal and transverse waves, respectivelyWave velocity; Δ t p 、Δt s Respectively longitudinal wave time difference and transverse wave time difference; r ps The longitudinal and transverse wave velocity ratio of the reservoir to be evaluated is obtained; r psmax 、R psmin Respectively is the longitudinal and transverse wave velocity ratio R of the reservoir in the block ps The highest value and the lowest value of (c); w is a f1 、w f2 、w f3 Respectively represents the slurry leakage quantity V L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Wherein w is f1 +w f2 +w f3 ＝1。
A further development of the invention consists in that the minimum horizontal principal stress σ of the reservoir is taken into account h Young's modulus E, fracture pressure p f Calculating the compressibility factor F of the reservoir according to the following formula b ：
Figure BDA0003151478490000031
In the formula, σ hmax 、σ hmin Respectively the minimum level principal stress sigma of the reservoir in the block h Highest value, lowest value of (m) 3 ；E max 、E min Respectively the highest value and the lowest value of the Young modulus E of the reservoir stratum in the block; p is a radical of fmax 、p fmin Respectively the reservoir fracture pressure p of the block f The highest value and the lowest value of (c); w is a f1 、w f2 、w f3 Respectively representing the minimum level principal stress sigma h Young's modulus E, fracture pressure p f Wherein w is b1 +w b2 +w b3 ＝1。
The invention is further improved in that the reservoir oil-gas property coefficient F is obtained according to calculation og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b The reservoir synthetic sweet spot coefficient F was calculated using:
Figure BDA0003151478490000032
in the formula, w og 、w p 、w f 、w b Respectively the oil-gas coefficient F of the reservoir og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b And w is og +w p +w f +w b ＝1。
A further development of the invention consists in influencing the weight w og1 、w og2 ，w p1 、w p2 ，w f1 、w f2 、w f3 And w f1 、w f2 、w f3 Can be obtained by statistical analysis and calculation of a grey correlation method
A further improvement of the invention consists in the weight w of the influence of the four evaluation coefficients on the reservoir synthetic sweet spot coefficient F og 、w p 、w f 、w b And the method can be obtained by statistical analysis and calculation of a grey correlation method.
A further development of the invention is that the total hydrocarbon content C n Obtaining the data through logging; oil and gas saturation S og Obtaining through logging data; the porosity phi and the permeability K can be obtained through porosity and permeability tests after coring or through well logging data calculation; slurry leakage V L The method can be obtained by well drilling construction summary; deep direction finding resistivity R t Shallow direction finding resistivity R s Can be obtained through resistivity logging data; longitudinal wave time difference Deltat p Transverse wave time difference Deltat s The data can be obtained through full wave train acoustic logging; minimum horizontal principal stress σ h The stress test after coring can be used for obtaining the stress, and the stress model can also be used for calculating and obtaining the logging information; the Young modulus E can be obtained through a three-axis rock mechanical test after coring or through calculation of well logging data; burst pressure p f And calculating and obtaining according to the logging data.
Compared with the prior art, the invention has the advantages that:
according to the method for identifying and evaluating the dessert in the heterogeneous reservoir, the key evaluation parameters are selected for the comprehensive dessert evaluation, and the method needs to start from the aspect of main control factors influencing the well improvement effect of the reservoir. Particularly, the optimized evaluation parameters are suitable for various wells such as exploration wells, evaluation wells, development wells and the like, and the selected parameters have key influence on the effect, can be easily obtained, and can calculate the continuous section, so that the method has better applicability and popularization.
Detailed Description
In order to make the technical solutions and advantages of the present invention more apparent, exemplary embodiments of the present invention are described in further detail below. It is clear that the described embodiments are only a part of the embodiments of the invention, and not an exhaustive list of all embodiments. And the embodiments and features of the embodiments may be combined with each other without conflict.
According to one embodiment of the invention, the method for identifying and evaluating the dessert in the heterogeneous reservoir comprises the following steps:
obtaining evaluation factors of a reservoir of a well to be evaluated, and respectively calculating four evaluation coefficients according to the evaluation factors;
and calculating the comprehensive sweet spot coefficient of the reservoir according to the four evaluation coefficients.
The four evaluation coefficients comprise a reservoir oil-gas content coefficient, a reservoir physical property coefficient, a reservoir fracture development coefficient and a reservoir compressibility coefficient.
In one embodiment, the reservoir evaluation factor includes the total hydrocarbon content C n Oil and gas saturation S og Porosity phi, permeability K, slurry leakage V L Deep direction finding resistivity R t Shallow direction finding resistivity R s Time difference of longitudinal wave Δ t p Transverse wave time difference Deltat s Minimum horizontal principal stress σ h Young's modulus E and burst pressure p f 。
In one embodiment, C is determined based on the total hydrocarbon content of the reservoir n Oil and gas saturation S og According to the following formula [ in this embodiment, formula (1) ]]Calculating the oil-gas containing coefficient F of the reservoir og 。
Figure BDA0003151478490000041
In the formula: f og The oil and gas containing coefficient of the reservoir is the dessert score for evaluating the influence of the oil and gas containing coefficient of the reservoir,%; c n Is the total hydrocarbon content,%, of the reservoir to be evaluated; c nmax 、C nmin Respectively the total hydrocarbon content C of the reservoir in the block n The highest value and the lowest value of (d); s og The oil-gas saturation of the reservoir to be evaluated is percent; s ogmax 、S ogmin Respectively the oil-gas saturation S of the reservoir in the block og Maximum, minimum,%; w is a og1 、w og2 Respectively representing the total hydrocarbon content C n And oil and gas saturation S og Influence weight,%, wherein w og1 +w og2 ＝1。
In one embodiment, the reservoir property factor F is calculated from the porosity φ, permeability K of the reservoir according to the following formula p [ formula (2) in this example)]。
Figure BDA0003151478490000042
In the formula: f p Is the reservoir property coefficient, which is the dessert score,%, evaluating the reservoir property impact; phi is the porosity,%, of the reservoir to be evaluated; phi is a max 、φ min Respectively the highest value and the lowest value,%, of the porosity phi of the reservoir in the block; k is the permeability, mD, of the reservoir to be evaluated; k max 、K min Respectively the highest value, the lowest value and the percent of the permeability K of the reservoir stratum of the block; w is a p1 、w p2 Denotes the weight,%, respectively, of the influence of the porosity φ and the permeability K, where w p1 +w p2 ＝1。
In one embodiment, the amount of mud lost-circulation, V, from the reservoir L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Calculating the reservoir fracture development coefficient F according to the formula (3) f 。
Figure BDA0003151478490000043
Wherein:
Figure BDA0003151478490000051
in the formula: f f Is a reservoir fracture developmental coefficient, which is a dessert score for evaluating the influence of reservoir fracture developmental,%; v L For the mud leakage of the reservoir to be evaluated, m 3 ；V Lmax 、V Lmin Respectively the mud leakage of the reservoir stratum of the block V L Highest value, lowest value of (m) 3 ；R t 、R s The resistivity is divided into deep direction finding resistivity and shallow direction finding resistivity, omega.m; r is ts The depth resistance ratio of the reservoir to be evaluated is zero dimension; r tsmax 、R tsmin Respectively the depth resistance ratio R of the reservoir layer of the block ts The highest value and the lowest value of the two-dimensional code are zero; v p 、V s The wave velocities of longitudinal waves and transverse waves are respectively m/mus; Δ t p 、Δt s Respectively longitudinal wave time difference, transverse wave time difference and mu s/m; r ps The longitudinal and transverse wave velocity ratio of the reservoir to be evaluated is zero dimension; r psmax 、R psmin Respectively is the longitudinal and transverse wave velocity ratio R of the reservoir in the block ps The highest value and the lowest value of the two-dimensional code are zero; w is a f1 、w f2 、 w f3 Respectively represents the slurry leakage quantity V L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Influence weight,%, wherein w f1 +w f2 +w f3 ＝1。
In one embodiment, the minimum horizontal principal stress σ in terms of reservoir h Young's modulus E, fracture pressure p f Calculating the compressibility factor F of the reservoir according to the following formula b 。
Figure BDA0003151478490000052
In the formula: f b Is a reservoir compressibility coefficient, which is the dessert score,%, evaluating the reservoir compressibility effect; sigma h For minimum level principal stress of reservoir to be evaluated，MPa；σ hmax 、σ hmin Respectively the minimum level principal stress sigma of the reservoir in the block h Highest value, lowest value of (m) 3 (ii) a E is the Young modulus of the reservoir to be evaluated, and is MPa; e max 、E min Respectively the highest value and the lowest value of the Young modulus E of the reservoir stratum of the block without dimension; p is a radical of f The fracture pressure of a reservoir to be evaluated is MPa; p is a radical of fmax 、p fmin Respectively the reservoir fracture pressure p of the block f The highest value and the lowest value of (2) are MPa; w is a f1 、w f2 、w f3 Respectively representing the minimum horizontal principal stress sigma h Young's modulus E, fracture pressure p f Influence weight,%, wherein w b1 +w b2 +w b3 ＝1。
In one embodiment, the hydrocarbon content coefficient F of the reservoir is calculated based on the steps of the previous embodiment og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b Calculating the comprehensive sweet spot coefficient F of the reservoir by adopting the following formula:
Figure BDA0003151478490000053
in the formula: f is the reservoir synthetic sweet spot coefficient,%; w is a og 、w p 、w f 、w b Respectively the oil-gas containing coefficient F of the reservoir og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b Influence weight,%, wherein w og +w p +w f +w b ＝1。
In one embodiment, the total hydrocarbon content C is obtained when the evaluation factor is obtained n Obtaining the data through logging; oil and gas saturation S og Obtaining through logging data; the porosity phi and the permeability K can be obtained through porosity and permeability tests after coring, and can also be obtained through well logging data calculation; slurry leakage V L The method can be obtained by well drilling construction summary; deep direction finding resistivity R t Shallow direction finding resistivity R s Can be obtained through resistivity logging data; longitudinal wave time difference Deltat p Transverse wave time difference Deltat s The data can be obtained through full wave train acoustic logging; minimum horizontal principal stress σ h The method can be obtained by stress test after coring, and can also be obtained by calculation through combining logging data with a stress model (Deng Yan, guo Jianchun, zhao Jinzhou. Novel method for comprehensively obtaining geostress section and application thereof [ J]Lithologic reservoirs, 2011 (2): 124-127.); young's modulus E can be obtained by triaxial rock mechanical test after coring, and can also be obtained by calculation through well logging data (Liu Xiangjun, liu Tangyan, liu Shiqiong. Well logging principle and engineering application [ M]Beijing: oil industry publishers 2006.106-118.); burst pressure p f Calculating and obtaining (Lin Yongmao, he Songgen, wang Xingwen, and the like) according to logging data]China: 202010126768.9).
In one embodiment, the total hydrocarbon content C n And oil and gas saturation S og Respectively for oil and gas containing coefficient F og Influence weight w of og1 、w og2 Porosity phi and permeability K respectively versus physical property coefficient F p Influence weight w of p1 、w p2 Amount of slurry leakage V L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Coefficient of development to crack respectively F f Influence weight w of f1 、w f2 、w f3 Minimum horizontal principal stress σ h Young's modulus E, fracture pressure p f Coefficient of compressibility respectively F b Influence weight w of f1 、w f2 、w f3 The weight average of the influence weights can be obtained by statistical analysis and calculation through a gray correlation method (Deng Julong. Gray theoretical basis [ M)]Wuhan, huazhong science and technology university Press, 2002.
In the step F, the oil-gas containing coefficient F of the reservoir og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b Weight of influence w on the reservoir synthetic sweet-spot coefficient F og 、w p 、w f 、w b Can be obtained by the statistical analysis and calculation of a gray correlation method (Deng Julong)Grey theoretical basis [ M]Wuhan, huazhong science and technology university Press, 2002.
In a specific embodiment, taking an X well of a tight sandstone gas field in the sikawa basin as an example, the method for calculating the identification and evaluation of the dessert of the heterogeneous reservoir comprises the following steps:
A. collecting the total hydrocarbon content C of the reservoir of the well to be evaluated n Oil and gas saturation S og Porosity phi, permeability K, slurry leakage V L Deep direction finding resistivity R t Shallow direction finding resistivity R s Time difference of longitudinal wave Δ t p Transverse wave time difference Deltat s Minimum horizontal principal stress σ h Young's modulus E, fracture pressure p f . The values of the individual parameters are shown in the following table.
Parameter vision improving method Parameter value Parameter vision improvement Parameter value
Total hydrocarbon content C n (％) 25.4 Shallow direction finding resistivity R ts (Ω·m) 81.4
Oil and gas saturation S og (％) 76.7 Longitudinal wave time difference Deltat p (μs/m) 205.2
Porosity phi (%) 7.6 Transverse wave time difference Deltat s (μs/m) 356.9
Permeability K (mD) 1.23 Minimum horizontal principal stress σ h (MPa) 69.3
Slurry leakage V L (m 3 ) 21 Young's modulus E (10) 4 MPa) 4.82
Deep direction finding resistivity R ts (Ω·m) 98.9 Burst pressure p f (10 4 MPa) 86.5
B. Total hydrocarbon content C of reservoir of well to be evaluated n 25.4 percent and oil-gas saturation S og It was 76.7%. The total hydrocarbon content C of the block reservoir n Maximum value of C nmax Minimum value C nmin Respectively accounting for 36.2 percent and 0 percent, and the oil-gas saturation S of the reservoir stratum of the block og Maximum value of S ogmax Minimum value S ogmin 83.1% and 21.2%, respectively. Total hydrocarbon content C n And oil and gas saturation S og Coefficient of oil and gas containing property of reservoir F og Influence weight w of og1 、w og2 0.55 and 0.45 respectively. Calculating the oil-gas containing coefficient F of the reservoir according to the formula (1) og Is 0.79.
C. The porosity phi of the reservoir of the well to be evaluated is 7.6%, and the permeability K is 2.23mD. The maximum value phi of the porosity phi of the reservoir in the block max Minimum value phi min 9.6% and 2.1% respectively. The maximum value K of the permeability K of the reservoir in the block max Minimum value K min 8.6mD and 0.03mD, respectively. Porosity phi and permeability K vs. reservoir physical property coefficient F p Influence weight w of p1 、w p2 0.57 and 0.43 respectively. Calculating the reservoir property coefficient F according to the formula (2) p Is 0.53.
D. Deep direction finding resistivity R of reservoir of well to be evaluated t Shallow direction finding resistivity R s Respectively 98.9 omega m and 81.4 omega m, and calculating the depth resistance ratio R according to the formula (4) ts Was 1.21. The depth resistance ratio R of the reservoir in the block ts Maximum value of R tsmax Minimum value R tsmin 1.35 and 1.04 respectively. Longitudinal wave time difference delta t of reservoir of well to be evaluated p Transverse wave time difference Deltat s 205.2 mu s/m and 356.9 mu s/m respectively, and calculating the longitudinal and transverse wave velocity ratio R according to the formula (4) ps Is 1.74. The longitudinal and transverse wave velocity ratio R of the reservoir in the block ps Maximum value of R psmax Minimum value R psmin 1.93 and 1.52 respectively. Mud leakage V of reservoir of well to be evaluated L Is 156m 3 The volume reservoir slurry leakage rate V L Maximum value of (V) Lmax Minimum value V Lmin Are respectively 225m 3 、0m 3 . Slurry leakage V L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Coefficient of development of reservoir fractures F f Influence weight w of f1 、w f2 、w f3 0.42, 0.30, 0.28, respectively. Calculating the reservoir fracture development coefficient F according to the formula (3) f Is 0.61.
E. Minimum horizontal principal stress sigma of reservoir of well to be evaluated h 69.3MPa, the minimum level principal stress sigma of the reservoir in the block h Maximum value of (a) hmax Minimum value σ hmin Respectively 81.6MPa and 58.2MPa. The Young's modulus E of the reservoir of the well to be evaluated is 4.82X 10 4 MPa, maximum value E of Young's modulus E of reservoir in this region max Minimum value E min Are respectively 5.2 multiplied by 10 4 MPa、3.5×10 4 MPa. Fracture pressure p of reservoir of well to be evaluated f 86.5MPa, the reservoir fracture pressure p of the block f Highest value of (p) fmax Minimum value p fmin 102MPa and 75MPa respectively. Minimum horizontal principal stress σ h Young's modulus E, fracture pressure p f Compressibility factor for reservoir F b Influence weight w of f1 、w f2 、w f3 0.36, 0.25 and 0.39 respectively. Calculating the reservoir compressibility factor F according to the formula (5) b Is 0.48.
F. Based on the steps A to E, calculating to obtain a reservoir oil-gas-containing coefficient F og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b Respectively 0.79, 0.53, 0.61, 0.48. The four coefficients F og 、F p 、F f 、F b The weights of influence on the reservoir integrated sweet spot coefficient F were 0.28, 0.22, 0.30, 0.20, respectively. The reservoir integrated sweet spot coefficient F was calculated to be 0.62 according to equation (6).
The dessert identification and evaluation method disclosed by the invention is already applied to a certain compact sandstone gas field in the Sichuan basin for 40 wells in field implementation, the comprehensive dessert evaluation accuracy is 94.7% by comparing with the gas production rate, the accuracy is improved by 21.1% compared with the early-stage dessert evaluation method, and the application effect is obvious.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to be construed to include preferred embodiments and all such changes and/or modifications as fall within the scope of the invention, and all such changes and/or modifications as are made to the embodiments of the present invention are intended to be covered by the scope of the invention.

Claims (10)

1. A method for identifying and evaluating a dessert in a heterogeneous reservoir is characterized by comprising the following steps:
obtaining evaluation factors of a reservoir of a well to be evaluated, and respectively calculating four evaluation coefficients according to the evaluation factors;
and calculating the comprehensive sweet-spot coefficient of the reservoir according to the four evaluation coefficients.
The four evaluation coefficients comprise a reservoir oil-gas content coefficient, a reservoir physical property coefficient, a reservoir fracture development coefficient and a reservoir compressibility coefficient.
2. The heterogeneous reservoir dessert identification and evaluation method of claim 1, wherein the reservoir evaluation factors include total hydrocarbon content, oil and gas saturation, porosity, permeability, mud loss, deep azimuthal resistivity, shallow azimuthal resistivity, compressional moveout, shear moveout, minimum level principal stress, young's modulus, and fracture pressure.
3. Heterogeneous reservoir dessert identification and evaluation method according to claim 2, wherein the total hydrocarbon content C of the reservoir is determined n Oil and gas saturation S og Oil and gas content coefficient of reservoir F og The following formula is satisfied:
Figure FDA0003151478480000011
in the formula, C nmax 、C nmin Respectively the total hydrocarbon content C of the reservoir in the block n The highest value and the lowest value of (d); s ogmax 、S ogmin Respectively the oil-gas saturation S of the reservoir in the block og The highest value and the lowest value of (c); w is a og1 、w og2 Respectively representing the total hydrocarbon content C n And oil and gas saturation S og And w is og1 +w og2 ＝1。
4. The heterogeneous reservoir dessert identification and evaluation method of claim 3, wherein the reservoir property coefficient F is calculated according to the porosity phi and the permeability K of the reservoir and the following formula p ：
Figure FDA0003151478480000012
In the formula, phi max 、φ min Respectively the highest value and the lowest value of the porosity phi of the reservoir layer in the block; k max 、K min Respectively the highest value and the lowest value of the permeability K of the reservoir stratum of the block; w is a p1 、w p2 Respectively representing the influence weights of porosity phi and permeability K, and w p1 +w p2 ＝1。
5. The heterogeneous reservoir dessert identification and evaluation method of claim 4, wherein the amount of slurry leakage V from the reservoir is determined by L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Coefficient of reservoir fracture development F f The following formula is satisfied:
Figure FDA0003151478480000013
wherein:
Figure FDA0003151478480000014
in the formula, V Lmax 、V Lmin Respectively the mud leakage of the reservoir stratum of the block V L The highest value and the lowest value of (c); r t 、R s Dividing the resistivity into deep direction-finding resistivity and shallow direction-finding resistivity; r is tsmax 、R tsmin Respectively the depth resistance ratio R of the reservoir layer of the block ts The highest value and the lowest value of (c); v p 、V s The wave velocities of longitudinal waves and transverse waves respectively; Δ t p 、Δt s Longitudinal wave time difference and transverse wave time difference respectively; r ps The longitudinal and transverse wave velocity ratio of the reservoir to be evaluated is obtained; r psmax 、R psmin Respectively is the longitudinal and transverse wave velocity ratio R of the reservoir in the block ps The highest value and the lowest value of (c); w is a f1 、w f2 、w f3 Respectively represents the slurry leakage quantity V L Depth resistance ratio R ts Longitudinal and transverse wave velocity ratio R ps Wherein w is f1 +w f2 +w f3 ＝1。
6. Heterogeneous reservoir dessert identification and evaluation method according to claim 5, wherein the minimum level principal stress σ of the reservoir is used h Young's modulus E, fracture pressure p f Calculating a reservoir compressibility factor F according to the following formula b ：
Figure FDA0003151478480000021
In the formula, σ hmax 、σ hmin Respectively the minimum level principal stress sigma of the reservoir in the block h Highest value, lowest value of (m) 3 ；E max 、E min Respectively the highest value and the lowest value of the Young modulus E of the reservoir stratum in the block; p is a radical of fmax 、p fmin Respectively the reservoir fracture pressure p of the block f The highest value and the lowest value of (c); w is a f1 、w f2 、w f3 Respectively representing the minimum level principal stress sigma h Young's modulus E, fracture pressure p f Wherein w is b1 +w b2 +w b3 ＝1。
7. The heterogeneous reservoir dessert identification and evaluation method of claim 6, wherein the reservoir oil-gas content coefficient F is obtained according to calculation og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b The reservoir synthetic sweet spot coefficient F was calculated using:
Figure FDA0003151478480000022
in the formula, w og 、w p 、w f 、w b Respectively the oil-gas containing coefficient F of the reservoir og Reservoir physical property coefficient F p Reservoir fracture development coefficient F f Reservoir compressibility factor F b Influence of (2)A weight, and w og +w p +w f +w b ＝1。
8. The heterogeneous reservoir dessert identification and evaluation method of claim 7, wherein the influence weight w og1 、w og2 ，w p1 、w p2 ，w f1 、w f2 、w f3 And w f1 、w f2 、w f3 Can be obtained by the statistical analysis and calculation of a grey correlation method.
9. The heterogeneous reservoir sweet-spot identification evaluation method of claim 8, wherein the four evaluation coefficients have influence weights w on the reservoir composite sweet-spot coefficient F og 、w p 、w f 、w b And the method can be obtained by statistical analysis and calculation of a grey correlation method.
10. The heterogeneous reservoir dessert identification and evaluation method of claim 9, wherein the total hydrocarbon content C n Obtaining the data through logging; oil and gas saturation S og Obtaining through logging data; the porosity phi and the permeability K can be obtained through porosity and permeability tests after coring or through well logging data calculation; slurry leakage V L The method can be obtained by well drilling construction summary; deep direction finding resistivity R t Shallow direction finding resistivity R s The resistivity logging information can be obtained; longitudinal wave time difference Deltat p Transverse wave time difference Deltat s The data can be obtained through full wave train acoustic logging; minimum horizontal principal stress σ h The stress test after coring can be used for obtaining the stress, and the stress model can also be used for calculating and obtaining the logging information; the Young modulus E can be obtained through a three-axis rock mechanical test after coring or through calculation of well logging data; burst pressure p f And calculating and obtaining according to the logging information.
CN202110768058.0A 2021-07-07 2021-07-07 Identification and evaluation method for dessert in heterogeneous reservoir Pending CN115600354A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110768058.0A CN115600354A (en) 2021-07-07 2021-07-07 Identification and evaluation method for dessert in heterogeneous reservoir

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110768058.0A CN115600354A (en) 2021-07-07 2021-07-07 Identification and evaluation method for dessert in heterogeneous reservoir

Publications (1)

Publication Number Publication Date
CN115600354A true CN115600354A (en) 2023-01-13

Family

ID=84841116

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110768058.0A Pending CN115600354A (en) 2021-07-07 2021-07-07 Identification and evaluation method for dessert in heterogeneous reservoir

Country Status (1)

Country Link
CN (1) CN115600354A (en)

Similar Documents

Publication Publication Date Title
CN110163533B (en) Shale gas gap net comprehensive compressibility evaluation method
CN104806233B (en) A kind of method for predicting plane of weakness formation collapsed pressure equal yield density window
CN106869911B (en) Evaluation method for describing compressibility of shale reservoir
CN108301825B (en) High-temperature high-pressure reservoir pore pressure analysis method
CN112502701B (en) Classification evaluation method for comprehensive geology-engineering of low-permeability reservoir
CN106909758A (en) A kind of new method of fine and close oil reservoir-level well multistage sub-clustering perforating site optimization design
CN109632459B (en) Shale fracturing property evaluation method
CN112505772B (en) Method for inverting rock pore distribution characteristics by utilizing pore and fracture medium elastic wave theory
CN112304754B (en) Shale brittleness logging evaluation method considering diagenesis and pressure change
CN113625364B (en) Shale formation pore pressure calculation method based on double correction
CN112211627B (en) Selection method of low-permeability gas reservoir interference well testing test well
CN113090258A (en) Deep shale gas horizontal well fracturing differentiation design method based on logging data
CN113075728B (en) Method for establishing compact sandstone multi-scale three-dimensional rock physical drawing board
CN110806600A (en) Method for quantitatively evaluating shale gas dessert
CN108661628B (en) Parameter optimization-based engineering dessert quantitative evaluation method
CN113283108A (en) Method and system for quantitatively evaluating fracturing property of shale oil reservoir
CN115600354A (en) Identification and evaluation method for dessert in heterogeneous reservoir
CN110007364B (en) Natural fracture logging comprehensive identification method based on geological pattern guidance
CN108661629B (en) Engineering dessert quantitative evaluation method for shale stratum
CN112459777B (en) Reservoir engineering sweet spot coefficient calculation method
CN113221232B (en) Method for optimizing design of fracture sandstone thick-layer hydraulic fracturing construction parameters
CN115030714A (en) Identification method of engineering dessert with compact reservoir
CN115730834A (en) Method for evaluating fracturing property of salinized lake facies shale oil reservoir based on brittleness
CN108756867B (en) Method for fracturing and selecting layer based on acoustic logging curve and resistivity logging curve
CN110334376A (en) The recognition methods of fine and close oil dessert reservoir

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