CN104564041A - Low-permeability clastic rock reservoir effectiveness evaluation method based on development permeability lower limit - Google Patents

Low-permeability clastic rock reservoir effectiveness evaluation method based on development permeability lower limit Download PDF

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CN104564041A
CN104564041A CN201410356310.7A CN201410356310A CN104564041A CN 104564041 A CN104564041 A CN 104564041A CN 201410356310 A CN201410356310 A CN 201410356310A CN 104564041 A CN104564041 A CN 104564041A
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reservoir
permeability
oil
exploitation
evaluation
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CN104564041B (en
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操应长
杨田
王艳忠
张少敏
张会娜
王思佳
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China University of Petroleum Beijing CUPB
China University of Petroleum UPC East China
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China University of Petroleum UPC East China
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells

Abstract

The invention discloses a low-permeability clastic rock reservoir effectiveness evaluation method based on a development permeability lower limit, and belongs to the technical field of exploration and development of petroleum and natural gas. The method comprises the following steps: A, calculating an effective development permeability lower limit under the constraints of economic limit primary oil and a development thickness; B, performing evaluation parameter optimization and single scoring based on a permeability difference value; C, computing a weight coefficient and a comprehensive score based on grey correlation analysis; D, performing low-permeability reservoir effectiveness classified evaluation based on an economic primary liquid amount. By adopting the method disclosed by the invention, the key problems of inaccurate computation of a physical property lower limit, difficulty in determining a rational evaluation parameter, uncertainty in a practical classification standard and the like in low-permeability reservoir effectiveness classified evaluation are solved, and the accuracy and practicability of effectiveness classified evaluation of a low-permeability clastic rock reservoir are improved.

Description

Based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits
Technical field
The present invention relates to oil and gas exploration and development technique, particularly relate to a kind of hyposmosis clastic reservoir rock efficiency evaluation method based on exploitation permeability limits.
Background technology
Along with improving constantly of oil-gas exploration and development degree, clastic oil-gas exploration and development target progressively turns to hypotonic, special hypotonic, super-low permeability reservoir.Due to hyposmosis clastic reservoir rock have that pore throat is fine, the feature such as correlation difference is oozed in complex structure, hole, non linear fluid flow through porous medium, non-homogeneity are strong, comparatively conventional gas and oil reservoir properties is poor to make low permeability reservoir physical property, with the criteria for classification of conventional reservoir, hyposmosis clastic reservoir rock is unfavorable reservoir, there is the region of Effective Reservoirs and the growth of high-quality Effective Reservoirs in fact hyposmosis clastic reservoir rock equally.Accurately reasonably low permeability reservoir validity evaluation of classification method is to development effectiveness high-quality district relatively preferably under the overall hypotonic background of searching, and " poor after getting rich first ", the whole development tool finally realizing petroleum resources is of great significance.
At present, the evaluation method for clastic oil and gas reservoir mainly comprises the large class of quantitative and qualitative analysis two.The key of evaluation method is the selection of rational evaluation parameter and the determination of criteria for classification.Also there is following problem in low permeability reservoir validity evaluation of classification method:
1) in qualitative evaluating method, physical property lower limit is asked for inaccurate, exist subjective factor impact, evaluation result and actual geology condition difference large.Conventional reservoir evaluation methods is mainly equal to evaluating using degree of porosity, permeability, pore structure, free-boundary problem, lithology, deposition, wherein porosity and permeability is evaluating the most general and important, but owing to there is the physical parameter lower limit of Effective Reservoirs in hyposmosis clastic reservoir rock, and Effective Reservoirs physical property lower limit reduces with the increase of the degree of depth, cause the reservoir of identical physical property may be Effective Reservoirs in deep layer, then may become non-effective reservoir at shallow-layer.Some scholars proposes to adopt the physical property difference difference of corresponding degree of depth physical property lower limit (a certain depth reservoir properties value with) to carry out the method for qualitative classification evaluation as reservoir evaluation parameter on the basis that physical property lower limit calculates, but because physical property lower limit calculates inaccurate, there is the problems such as the impact of subjective factor in qualitative evaluation, makes its evaluation result and actual geological condition there is larger difference.
2) in method for quantitatively evaluating, evaluating can not accurate characterization low permeability reservoir comprehensive characteristics, can not evaluate qualitative parameter.Quantitative classification evaluation can make evaluation result and actual geological condition coincide to the full extent, present stage mainly adopts the weight coefficient of gray relative analysis method determination different affecting factors, comprehensive and quantitative evaluation of classification is carried out in conjunction with monofactorial evaluation score, it requires when applying to select rational evaluating, and determined female factor is wanted fully to reflect each sub-combined factors feature.Be female factor mainly with degree of porosity, permeability in the Quantitative Evaluation of Reservoirs of present stage, the impact of buried depth on evaluating reservoir can not be eliminated; Quantitative parameter can only be adopted to carry out evaluation, the method for assignment of artificially giving a mark for the many employings of qualitative parameter, but most of geological conditions parameter is all qualitative parameter.
3) existing reservoir classification and evaluation method just carries out qualitative evaluation on the basis of Reservoir Classification, does not have practicality Quantitative assessment.Some scholars proposes to carry out reservoir classification and evaluation using average daily fluid production rate size as Quantitative assessment, but due to the difference of the first Liquid output (reservoir exploitation can obtain the minimum Liquid output of economic benefit) of reservoir economic limit, there is significant difference in the reservoir economic benefit of identical average daily fluid production rate, as average daily fluid production rate is in the reservoir of 20t/d, buried depth 2000m economic limit just Liquid output is the economic benefit that the reservoir of 5t/d can obtain daily fluid production rate 15t/d; The first Liquid output of buried depth 4000m economic limit is that the reservoir of 20t/d then can not obtain economic benefit.
In sum, for hyposmosis clastic reservoir rock, need to develop the validity evaluation of classification method that realistic geological conditions, evaluating are more reasonable, evaluation of classification standard is more practical.
Summary of the invention
In view of this, main purpose of the present invention is to provide one to set up actual geological conditions, effective exploitation permeability limits, the permeability difference difference of corresponding degree of depth effective exploitation permeability cutoff (a certain depth reservoir permeability value with), hyposmosis clastic reservoir rock validity evaluation of classification method under economic just Liquid output (average daily fluid production rate deducts economic limit just Liquid output) constraint, calculate inaccurate to solve physical property lower limit in low permeability reservoir validity evaluation of classification, rational evaluation parameter determines difficulty, the key issues such as practicality criteria for classification is indefinite, improve accuracy and the practicality of hyposmosis clastic reservoir rock validity evaluation of classification.
For achieving the above object, technical scheme of the present invention is achieved in that
Based on a hyposmosis clastic reservoir rock efficiency evaluation method for exploitation permeability limits, the method comprises:
The step that the first produce oil of A, economic limit and the effective exploitation permeability limits under developing thickness constraints are asked for;
B, based on permeability difference evaluating preferably and the step of individual scores;
C, the step calculated based on weight coefficient and the integrate score of grey correlation analysis;
D, step based on the first low permeability reservoir validity evaluation of classification of Liquid output of economy.
Wherein, steps A comprises further:
A1, set up low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis;
A2, set up economic limit just produce oil with reservoir buried depth, the declinable plate of crude oil price;
A3, ask for the low permeability reservoir permeability limits of economic limit just under produce oil and exploitation thickness constraints.
Wherein, described steps A 1 comprises following process:
A11, for low permeability reservoir research block target zone position, the every data of Pressure Curve in Oil Testing Well section obtained with oilfield oil testing pilot production and parameter, for foundation, determine the daily fluid production rate of the individual well Pressure Curve in Oil Testing Well section degree of depth and correspondence thereof;
A12, according to drill cores, survey log data, utilize BendLinkEX software, draw compound logging figure, survey the comprehensive analysis of well logging response by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness, calculate individual well Pressure Curve in Oil Testing Well section unit thickness daily fluid production rate;
A13, get individual well Pressure Curve in Oil Testing Well section low permeability reservoir drill cores, drill through core sample, adopt GDS-9F gas permeability detector to carry out permeability test to institute's coring sample, calculate individual well Pressure Curve in Oil Testing Well section low permeability reservoir mean permeability according to physical property measurement result;
A14, according to individual well Pressure Curve in Oil Testing Well section genesis analysis situation, low permeability reservoir is divided into different depth intervals in the vertical, take permeability as abscissa, unit thickness daily fluid production rate is ordinate, draws each depth intervals low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis.
Wherein, described steps A 2 comprises following process:
A21, according to low permeability reservoir character, cost of production, each constraints of oil gas price, and according to the first produce oil acquiring method of the economic limit of formula (1), in conjunction with oil field actual production management state, determine reservoir drilling well investment, ground investment, individual well operating cost, year composite declining rate, time rate, the exchange rate, ton bucket coefficient, ton oil expense, composite tax rate, resources tax, commodity rate, operating cost increase rate, oil-water well coefficient, evaluate time limit each key parameter;
q 0 min = ( K 0 × 10 - 4 H + I b ) β + C 0 · ( ( 1 + i ) t - 1 ) / i 365 τ 0 α 0 ( η t - 1 η - 1 ) [ m ( 1 - γ ) - n - p ] × 10 - 4 - - - ( 1 )
Wherein: q 0min: Economic Limit Initial Rating of Oil Wells, t/d; K 0: unit drilling cost, unit/m; H: well depth, m; I b: individual well surface construction is invested, Wan Yuan; β: oil-water well coefficient, decimal; C 0: individual well operating cost, Wan Yuan; I: operating cost year increase rate, decimal; T: evaluate the time limit, a; τ 0: year production time efficiency, d; α 0: crude oil commodity rate, decimal; η: year composite declining rate, decimal; M: oil price, unit/t; γ: composite tax rate, decimal; N: ton oil resources tax, unit/t; P: ton oil expense, unit/t;
A22, be abscissa with drilling depth, economic limit just produce oil is ordinate, set up economic limit just produce oil with reservoir buried depth, the declinable plate of crude oil price.
Described steps A 3 comprises following process:
A31, according to the low permeability reservoir genesis analysis depth intervals divided, calculate economic limit corresponding to each intermediate depth just produce oil, in conjunction with low permeability reservoir moisture content, calculate the daily fluid production rate that intermediate depth reservoir is corresponding;
A32, according to exploitation thickness, calculate the unit thickness economic limit daily fluid production rate that each intermediate depth is corresponding, bring this depth intervals unit thickness daily fluid production rate and mean permeability Core analysis into, ask for the permeability that each intermediate depth of different exploitation thickness low permeability reservoir is corresponding, the hyposmosis clastic reservoir rock effective exploitation permeability limits namely under economic limit just produce oil constraint;
A33, then utilize data processing software matching identical exploitation thickness hyposmosis clastic reservoir rock to help the functional relation of the lower effective exploitation permeability limits of the limit just produce oil constraint and buried depth, so set up the first produce oil of different exploitation thickness low permeability reservoir economic limit retrain under effective exploitation permeability limits and the functional relation of buried depth.
Wherein, described in step B, step that is preferred based on the evaluating of permeability difference and individual scores comprises:
B1, on the basis that low permeability reservoir effective exploitation permeability limits is asked for, utilize BendLinkEX software, draw compound logging figure, the comprehensive analysis of well logging response is surveyed by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness average, select the effective exploitation permeability limits under corresponding exploitation thickness;
B2, with permeability difference for female factor, eliminate buried depth on the impact of effective reservoir with the comprehensive characteristics of accurate characterization low permeability reservoir;
B3, utilize laser particle size analyzer carry out particle size analysis in conjunction with core observation analyze conclusion, the lithology type of low permeability reservoir is divided;
B4, utilize acoustic travel time logging data acquisition equivalent depth method to calculate strata pressure, in conjunction with oil test data observed pressure data, the Characteristics of Geopressure of low permeability reservoir is divided;
B5, the saturating reverse-biased light microscope of utilization numeral identify under carrying out Diagenesis feature mirror, utilize the saturating reverse-biased light microscope of numeral and image analysis software and rock core body of casting analytical system, adopt and manually draw the method combined with computer image analysis, the each diagenesis types of quantitative statistics affects the power of reservoir pore space, based on diagenesis event and power thereof, the Diagenetic Facies type of low permeability reservoir is divided;
B6, utilize rock core compound logging data in conjunction with core observation describe, the oiliness feature of reservoir is divided;
B7, add up Effective Reservoirs ratio in different lithology, Characteristics of Geopressure, Diagenetic Facies type, oiliness character control reservoir respectively, draw the Effective Reservoirs percentage composition frequency histogram under each governing factor effect; With the foundation that Effective Reservoirs percentage composition is individual scores, adopt parameter value to carry out standardization than upper similar parameter maximum, realize the individual scores of each evaluating.
The step calculated based on the weight coefficient of grey correlation analysis and integrate score described in step C specifically comprises:
C1, select different permeability difference, different governing factor comprehensive function representative data carries out grey correlation analysis, by calculating the absolute difference between each sub-factor and female factor, obtains absolute difference maximum value and minimum value; Described incidence coefficient design formulas is:
γ 0 t ( i ) = m + ξM Δ t ( i ) + ξM - - - ( 2 )
Wherein, M is absolute difference maximum value, and m is absolute difference minimum value, Δ ti () is the absolute difference of the relatively female factor of a t data point i evaluating, getting resolution ratio ξ is 0.5, calculates the incidence coefficient of evaluating relative to female factor at Arbitrary Digit strong point;
C2, ask for the average of the identical evaluating of different pieces of information point relative to female correlate coefficient by formula (3), obtain degree of association γ=(a, b, c, the d) of petrofacies, strata pressure, Diagenetic Facies, oiliness relative permeability difference;
γ 0 i = 1 n Σ t = 1 n γ 0 t ( i ) , i = 1,2 , · · · , m - - - ( 3 ) ;
C3, be normalized by formula (4) after obtain weight coefficient α=(A, B, C, the D) of each evaluating;
α i = γ 0 i / Σ i = 1 m γ 0 i , i = 1,2 , · · · , m - - - ( 4 ) ;
C4, by formula (5) according to the weight coefficient of each parameter, be multiplied by individual scores respectively, try to achieve individual event balance mark, each parameter individual event balance mark is added the overall merit mark REI namely obtaining each evaluating data point;
REI ( t ) = Σ i = 1 m α i X t ( 1 ) ( i ) , t = 1,2 · · · , n ; i = 1,2 , · · · , m - - - ( 5 )
Wherein: in formula (3) ~ (5), n is the number participating in evaluating data point; M is the number of the evaluation of classification parameter determined.
Specifically comprise based on the step of the low permeability reservoir validity evaluation of classification of the first Liquid output of economy described in step D:
According to the corresponding relation of Liquid output at the beginning of overall merit mark REI and economy, with economy just Liquid output size and be distributed as classification foundation, final classification results is evaluated, sets up the evaluation criterion of hyposmosis clastic reservoir rock, realize the evaluation of classification of low permeability reservoir validity.
Hyposmosis clastic reservoir rock efficiency evaluation method based on exploitation permeability limits provided by the present invention, has the following advantages:
First, the method is taking into full account under the constraintss such as the actual geological conditions of hyposmosis clastic reservoir rock, rational evaluation parameter, practical classification standard, by accurately asking for the effective exploitation permeability limits determination permeability difference under exploitation thickness and economic limit just produce oil constraint, with permeability difference for female factor characterizes low permeability reservoir comprehensive characteristics and optimizing evaluation parameter, each evaluating weight coefficient and integrate score is calculated by grey correlation, integrated economics is Liquid output determination fitness-for-service assessment standard just, carries out low permeability reservoir validity evaluation of classification.
The second, utilize the inventive method, following technical breakthrough can be obtained:
1) accurately can ask for economic limit just produce oil and the low permeability reservoir effective exploitation permeability limits under developing thickness constraints, make permeability mathematic interpolation more accurate;
2) permeability difference is incorporated in quantitative classification evaluating as female factor, more accurately reasonably characterizes the comprehensive characteristics of low permeability reservoir when eliminating buried depth and affecting effective reservoir;
3) with the foundation that Effective Reservoirs percentage composition is individual scores, the reasonable Quantitative marking of qualitative parameter in quantitative classification evaluation can be realized;
4) introduce economic just Liquid output, as evaluation of classification standard, evaluation result to be combined with economic benefit, to establish practicality evaluation of classification standard.
Accompanying drawing explanation
Fig. 1 is the low permeability reservoir validity evaluation of classification method flow diagram based on exploitation permeability limits of the present invention;
Fig. 2 is Shengli Oil Field somewhere different depth interval units thickness daily fluid production rate and permeability dependency relation figure;
Fig. 3 is Shengli Oil Field somewhere economic limit just produce oil and well depth and Crude Oil Prices figure;
Fig. 4 is the effective exploitation permeability limits plate under the just produce oil constraint of Shengli Oil Field somewhere difference exploitation thickness turbidite hyposmosis clastic reservoir rock economic limit;
Fig. 5 is Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock different governing factor Effective Reservoirs histogram frequency distribution diagram.
Detailed description of the invention
Below in conjunction with accompanying drawing and embodiments of the invention, the hyposmosis clastic reservoir rock efficiency evaluation method that the present invention is based on exploitation permeability limits is described in further detail.
Fig. 1 is the low permeability reservoir validity evaluation of classification method flow diagram based on exploitation permeability limits of the present invention.The present invention is when taking into full account hyposmosis clastic reservoir rock the integrated characteristics, what propose is defined as basis with effective exploitation permeability limits, with permeability difference for female factor characterizes low permeability reservoir comprehensive characteristics and optimizing evaluation parameter, each evaluating weight coefficient and integrate score is calculated, the hyposmosis clastic reservoir rock validity evaluation of classification method of the first Liquid output determination Rational Classification standard of integrated economics by grey correlation.The method comprises the steps:
Step 11: the step that the first produce oil of economic limit and the effective exploitation permeability limits under developing thickness constraints are asked for.Comprise following concrete steps:
Step 111: set up low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis.For low permeability reservoir research block target zone position, every data of the Pressure Curve in Oil Testing Well section obtained with oilfield oil testing pilot production and parameter (comprising the degree of depth, daily fluid production rate, accumulative Liquid output, pressure, temperature, oil gas aqueous nature etc.), for foundation, determine the daily fluid production rate of the individual well Pressure Curve in Oil Testing Well section degree of depth and correspondence thereof; According to drill cores, survey log data, utilize BendLinkEX2.6 software, draw compound logging figure, survey the comprehensive analysis of well logging response by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness, calculate individual well Pressure Curve in Oil Testing Well section unit thickness daily fluid production rate.Get individual well Pressure Curve in Oil Testing Well section low permeability reservoir drill cores, drill through core sample (as diameter 2.5cm, long 5cm), adopt GDS-9F gas permeability detector to carry out permeability test to institute's coring sample, calculate individual well Pressure Curve in Oil Testing Well section low permeability reservoir mean permeability according to physical property measurement result.According to individual well Pressure Curve in Oil Testing Well section genesis analysis situation, low permeability reservoir is divided into different depth intervals in the vertical, take permeability as abscissa, unit thickness daily fluid production rate is ordinate, draws each depth intervals low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis.
Step 112: set up the first produce oil of economic limit with reservoir buried depth, the declinable plate of crude oil price.Take into full account each constraints of low permeability reservoir character, cost of production, oil gas price, according to economic limit just produce oil acquiring method (reference formula (1)), in conjunction with oil field actual production management state, determine reservoir drilling well investment, ground investment, individual well operating cost, year composite declining rate, time rate, the exchange rate, ton bucket coefficient, ton oil expense, composite tax rate, resources tax, commodity rate, operating cost increase rate, oil-water well coefficient, evaluate time limit each key parameter; Take drilling depth as abscissa, economic limit just produce oil is ordinate, sets up the first produce oil of economic limit with reservoir buried depth, the declinable plate of crude oil price.
q 0 min = ( K 0 × 10 - 4 H + I b ) β + C 0 · ( ( 1 + i ) t - 1 ) / i 365 τ 0 α 0 ( η t - 1 η - 1 ) [ m ( 1 - γ ) - n - p ] × 10 - 4 - - - ( 1 )
In above formula: q 0min: Economic Limit Initial Rating of Oil Wells, t/d; K 0: unit drilling cost, unit/m; H: well depth, m; I b: individual well surface construction is invested, Wan Yuan; β: oil-water well coefficient, decimal; C 0: individual well operating cost, Wan Yuan; I: operating cost year increase rate, decimal; T: evaluate the time limit, a; τ 0: year production time efficiency, d; α 0: crude oil commodity rate, decimal; η: year composite declining rate, decimal; M: oil price, unit/t; γ: composite tax rate, decimal; N: ton oil resources tax, unit/t; P: ton oil expense, unit/t.
Step 113: ask for economic limit just produce oil and the low permeability reservoir permeability limits under developing thickness constraints.According to the low permeability reservoir genesis analysis depth intervals divided, from shallow to deep, calculate economic limit corresponding to each intermediate depth just produce oil, in conjunction with low permeability reservoir moisture content, calculate the daily fluid production rate that intermediate depth reservoir is corresponding; According to exploitation thickness, calculate the unit thickness economic limit daily fluid production rate that each intermediate depth is corresponding, bring this depth intervals unit thickness daily fluid production rate and mean permeability Core analysis into, ask for the permeability that each intermediate depth of different exploitation thickness low permeability reservoir is corresponding, the hyposmosis clastic reservoir rock effective exploitation permeability limits namely under economic limit just produce oil constraint.Utilize data processing software matching identical exploitation thickness hyposmosis clastic reservoir rock to help the functional relation of the lower effective exploitation permeability limits of the limit just produce oil constraint and buried depth, so set up the first produce oil of different exploitation thickness low permeability reservoir economic limit retrain under effective exploitation permeability limits and the functional relation of buried depth.
Step 12: based on permeability difference evaluating preferably and the step of individual scores.On the basis that low permeability reservoir effective exploitation permeability limits is asked for, utilize BendLinkEX2.6 software, draw compound logging figure, the comprehensive analysis of well logging response is surveyed by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness average, select the effective exploitation permeability limits under corresponding exploitation thickness.With permeability difference for female factor, eliminate buried depth to the impact of effective reservoir with the comprehensive characteristics of accurate characterization low permeability reservoir; Carry out low permeability reservoir Validity control factor scrutiny, emphasis inquires into deposition, diagenesis, strata pressure, oiliness to the control of effective reservoir.Utilize BT-2002 laser particle size analyzer to carry out particle size analysis and analyze conclusion in conjunction with core observation, the lithology type of low permeability reservoir is divided; Utilize acoustic travel time logging data acquisition equivalent depth method to calculate strata pressure, in conjunction with oil test data observed pressure data, the Characteristics of Geopressure of low permeability reservoir is divided; Identify under utilizing the saturating reverse-biased light microscope of Zeiss Axioscope A1 APOL. numeral to carry out Diagenesis feature mirror, utilize the Zeiss Axioscope A1 APOL. saturating reverse-biased light microscope of numeral and Axio Vision Software Rel. image analysis software and rock core body of casting analytical system, adopt and manually draw the method combined with computer image analysis, the each diagenesis types of quantitative statistics affects the power of reservoir pore space, based on diagenesis event and power thereof, the Diagenetic Facies type of low permeability reservoir is divided; Utilize rock core compound logging data to describe in conjunction with core observation, the oiliness feature of reservoir is divided.Add up Effective Reservoirs (reservoir that permeability difference is greater than zero) ratio in different lithology, Characteristics of Geopressure, Diagenetic Facies type, oiliness character control reservoir respectively, draw the Effective Reservoirs percentage composition frequency histogram under each governing factor effect; With the foundation that Effective Reservoirs percentage composition is individual scores, adopt parameter value to carry out standardization than upper similar parameter maximum, realize the individual scores of each evaluating.
Step 13: the step that weight coefficient and integrate score based on grey correlation analysis calculate.Selecting different permeability difference, different governing factor comprehensive function representative data carries out grey correlation analysis, by calculating the absolute difference between each sub-factor and female factor, obtaining absolute difference maximum value and minimum value.By incidence coefficient design formulas:
γ 0 t ( i ) = m + ξM Δ t ( i ) + ξM - - - ( 2 )
In above formula, M is absolute difference maximum value, and m is absolute difference minimum value, Δ ti () is the absolute difference of the relatively female factor of a t data point i evaluating, getting resolution ratio ξ is 0.5, calculates the incidence coefficient of evaluating relative to female factor at Arbitrary Digit strong point.Ask for the average of the identical evaluating of different pieces of information point relative to female correlate coefficient by formula (3), obtain degree of association γ=(a, b, c, the d) of petrofacies, strata pressure, Diagenetic Facies, oiliness relative permeability difference; Weight coefficient α=(A, B, C, the D) of each evaluating is obtained after being normalized by formula (4).By formula (5) according to the weight coefficient of each parameter, be multiplied by individual scores respectively, try to achieve individual event balance mark, each parameter individual event balance mark is added the overall merit mark REI namely obtaining each evaluating data point.
γ 0 i = 1 n Σ t = 1 n γ 0 t ( i ) , i = 1,2 , · · · , m - - - ( 3 )
α i = γ 0 i / Σ i = 1 m γ 0 i , i = 1,2 , · · · , m - - - ( 4 )
REI ( t ) = Σ i = 1 m α i X t ( 1 ) ( i ) , t = 1,2 · · · , n ; i = 1,2 , · · · , m - - - ( 5 )
In above-mentioned formula (3) ~ (5), n is the number participating in evaluating data point; M is the number of the evaluation of classification parameter determined.
Step 14: based on the step of the low permeability reservoir validity evaluation of classification of the first Liquid output of economy.According to the corresponding relation of Liquid output at the beginning of overall merit mark REI and economy, with economy just Liquid output size and be distributed as classification foundation, final classification results is evaluated, sets up the evaluation criterion of hyposmosis clastic reservoir rock, realize the evaluation of classification of low permeability reservoir validity.
Below, we for specific embodiment, describe the concrete solution of the inventive method with Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock validity comprehensive and quantitative evaluation of classification in detail.Comprise:
Step 21: just produce oil and the effective exploitation permeability limits developed under thickness constraints are asked for based on economic limit.
Step 211: with Shengli Oil Field somewhere turbidite low permeability reservoir for research object, every data of the Pressure Curve in Oil Testing Well section obtained with oilfield oil testing pilot production and parameter (comprising the degree of depth, daily fluid production rate, accumulative Liquid output, pressure, temperature, oil gas aqueous nature etc.), for foundation, determine the daily fluid production rate of the individual well Pressure Curve in Oil Testing Well section degree of depth and correspondence thereof; According to drill cores, survey log data, utilize BendLinkEX3.0 software, draw compound logging figure, the comprehensive analysis of well logging response is surveyed by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness, calculate individual well unit thickness daily fluid production rate in conjunction with daily fluid production rate size.Get individual well Pressure Curve in Oil Testing Well section low permeability reservoir drill cores, machine for placing drills through diameter 2.5cm, long 5cm core sample, adopts GDS-9F gas permeability detector to carry out permeability test to institute's coring sample, calculates individual well Pressure Curve in Oil Testing Well section low permeability reservoir mean permeability according to physical property measurement result.According to individual well Pressure Curve in Oil Testing Well section genesis analysis situation, study area turbidite low permeability reservoir is divided in the vertical from shallow to deep 2700-2900m, 2900-3100m, 3100-3300m, 3300-3500m tetra-depth intervals, take permeability as abscissa, unit thickness daily fluid production rate is ordinate, draw corresponding depth intervals hyposmosis clastic reservoir rock unit thickness daily fluid production rate and mean permeability Core analysis, as shown in Figure 2.
Step 212: take into full account cost of production and oil gas price economic constraint condition, formula (1) is asked for according to the first produce oil of economic limit, in conjunction with oil field actual production management state, determine drilling well investment, ground investment, individual well operating cost, year composite declining rate, time rate, the exchange rate, ton bucket coefficient, ton oil expense, composite tax rate, resources tax, commodity rate, operating cost increase rate, oil-water well coefficient, evaluate time limit each key parameter (reference table 1).Economic limit just produce oil size under utilizing formula (1) to calculate different crude oils price, different drilling depth, take drilling depth as abscissa, economic limit just produce oil is ordinate, sets up the first produce oil of the different crude oils price economy limit and changes plate with drilling depth, as shown in Figure 3.
Table 1: Shengli Oil Field somewhere economic limit primiparity oil base plinth data summary table
Step 213: according to current market crude oil price situation of change, get crude oil price: 70 $/bbl; Calculating 2700-2900m reservoir intermediate depth is the first produce oil of economic limit under the crude oil price of 2800m, 70/bbl controls is 3.1945t/d, with reference to figure 3 and table 2 (a).According to actual development thickness (for 5m, 10m, 15m, 20m), for reservoir moisture content be zero (reservoir production fluid is entirely for oil), determining that degree of depth 2800m develops thickness is that 5m, 10m, 15m, 20m reservoir unit thickness economic limit daily fluid production rate is respectively 0.6389t/d/m, 0.3194t/d/m, 0.2130t/d/m, 0.1597t/d/m, bring 2700-2900m depth intervals unit thickness daily fluid production rate and mean permeability Core analysis into, asking for exploitation thickness is 5m, 10m, 15m, the permeability that 20m turbidite hyposmosis clastic reservoir rock buried depth 2800m is corresponding is respectively 9.05mD, 6.53mD, 5.02mD, 4.35mD, namely the effective exploitation permeability limits (Fig. 2 under economic limit just produce oil constraint, shown in table 2 (a)), calculate 2900-3100m respectively, 3100-3300m, 3300-3500m depth intervals intermediate depth 3000m, 3200m, effective exploitation permeability limits under the turbidite hyposmosis clastic reservoir rock economic limit just produce oil constraint of the difference exploitation thickness that 3400m is corresponding respectively, with reference to figure 2 and table 2 (b) ~ (d).Utilize data processing software, effective exploitation permeability limits under the just produce oil constraint of the matching identical exploitation thickness turbidite low permeability reservoir Ji limit and the functional relation of buried depth, and then ask for any degree of depth economic limit just produce oil and turbidite hyposmosis clastic reservoir rock effective exploitation permeability limits under production thickness constraints, as shown in Figure 4.
Table 2: the lower effective exploitation permeability limits of Shengli Oil Field somewhere difference exploitation thickness turbidite hyposmosis clastic reservoir rock economic limit just produce oil constraint calculates data
Step 22: based on permeability difference evaluating preferably and individual scores.On the basis that turbidite low permeability reservoir effective exploitation permeability limits is asked for, utilize BendLinkEX2.6 software, draw compound logging figure, the comprehensive analysis of well logging response is surveyed by drill cores observation analysis and reservoir characteristic, determine that individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness average is 5-10m, select exploitation thickness to be the permeability limits (y=43.719e-7E-04x that 10m tries to achieve; R 2=0.9838) different depth reservoir permeability difference is asked for.With permeability difference for female factor, eliminate buried depth to the impact of effective reservoir with the comprehensive characteristics of accurate characterization low permeability reservoir; Carry out turbidite low permeability reservoir Validity control factor scrutiny, emphasis inquires into deposition, diagenesis, strata pressure, oiliness to the control of effective reservoir.Utilize BT-2002 laser particle size analyzer to carry out particle size analysis and analyze conclusion in conjunction with core observation, turbidite low permeability reservoir is divided into containing gravel gritstone, middle packsand, siltstone, argillaceous sandstone, calcareous sand stone 5 kinds of Lithofacies Types, utilize acoustic travel time logging data acquisition equivalent depth method to calculate strata pressure in conjunction with oil test data observed pressure data, the Characteristics of Geopressure of turbidite low permeability reservoir is divided strong superpressure, middle superpressure, weak superpressure, normal pressure 4 type, identify under carrying out Diagenesis feature mirror by utilizing the saturating reverse-biased light microscope of Zeiss Axioscope A1 APOL. numeral, utilize the Zeiss Axioscope A1 APOL. saturating reverse-biased light microscope of numeral and Axio Vision Software Rel. image analysis software and rock core body of casting analytical system, adopt and manually draw the method combined with computer image analysis, the each diagenesis types of quantitative statistics is on the impact of reservoir pore space, based on diagenesis event and intensity thereof, turbidite low permeability reservoir is divided into and suppresses that true length stone weak corrosion carbonate is weak is cemented to petrofacies, petrofacies formed by weak compacting feldspar weak corrosion carbonate strong rubber, weak compacting feldspar strong corrosion carbonate is weak is cemented to petrofacies, petrofacies are cemented in corrosion carbonate in middle compacting feldspar, petrofacies 5 kinds of Diagenetic Facies types are cemented in the strong corrosion carbonate of middle compacting feldspar, utilize rock core compound logging data to describe in conjunction with core observation, the oiliness of turbidite low permeability reservoir is divided into and is full of oil and is rich in oil, oil immersion, oil mark, oil stain and following oil bearing grade 4 type.Add up Effective Reservoirs (permeability difference is greater than zero) ratio in different petrofacies, Characteristics of Geopressure, Diagenetic Facies type, oiliness character control reservoir respectively, draw the Effective Reservoirs percentage composition frequency histogram under each governing factor effect, as shown in Figure 5.
With the foundation that Effective Reservoirs percentage composition is individual scores, adopt parameter value to carry out standardization than upper similar parameter maximum, realize the individual scores of each evaluating, in table 3.
Table 3: the different governing factor individual scores of Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock
Step 23: based on weight coefficient and the integrate score calculating of grey correlation analysis.Selecting different permeability difference, different governing factor comprehensive function representative data carries out grey correlation analysis (table 4), by calculating the absolute difference between each sub-factor and female factor, obtaining that absolute difference is 0.974 to the maximum, minimum value is 0.The incidence coefficient (table 5) of evaluating relative to female factor at Arbitrary Digit strong point is calculated by incidence coefficient design formulas (2).The average of the identical evaluating of different pieces of information point relative to female correlate coefficient is asked for by formula (3), obtain degree of association γ=(0.560 of lithology, strata pressure, Diagenetic Facies, oiliness relative permeability difference, 0.463,0.635,0.607); Obtain petrofacies after being normalized by formula (4), weight coefficient α=(0.247,0.204,0.280,0.268) that strata pressure, Diagenetic Facies, oiliness affect turbidite low permeability reservoir comprehensive characteristics.By formula (5) according to the weight coefficient of each parameter, be multiplied by individual scores respectively, try to achieve individual event balance mark, each parameter individual event balance mark is added the overall merit mark REI (table 5, table 6) namely obtaining each evaluating data point.
Table 4: Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock validity comprehensive and quantitative evaluation of classification representative data
Table 5: Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock validity comprehensive and quantitative evaluation of classification incidence coefficient
Step 24: based on the low permeability reservoir validity evaluation of classification of the first Liquid output of economy.On the basis calculating overall merit mark, according to oil test data data, integrated economics limit primiparity liquid measure design formulas, ask for the size (reference table 6) of the first Liquid output of economic limit and the first Liquid output of economy, according to the corresponding relation of Liquid output at the beginning of overall merit mark and economy, with economy just Liquid output size and be distributed as classification foundation, turbidite low permeability reservoir is divided into 4 types.I class reservoir economy just Liquid output is greater than 15t/d, and integrate score is greater than 0.8; II class reservoir economy is Liquid output 5-15t/d, integrate score 0.6-0.8 just; III class reservoir economy is Liquid output 0-5t/d, integrate score 0.4-0.6 just; IV class reservoir economy just output of fluid is less than 0t/d, and integrate score is less than 0.4.I class, II class, III class reservoir economy just Liquid output are greater than 0, and be Effective Reservoirs, wherein I class, II class reservoir are high-quality Effective Reservoirs, suggestion preferential development; IV class reservoir economy just output of fluid is less than 0, is non-effective reservoir.Thus, realize the evaluation of classification of turbidite low permeability reservoir validity, as shown in table 6.
Table 6: Shengli Oil Field somewhere turbidite hyposmosis clastic reservoir rock validity comprehensive and quantitative evaluation of classification
The present invention is taking into full account under the constraintss such as the actual geological conditions of hyposmosis clastic reservoir rock, rational evaluation parameter, practical classification standard, by accurately asking for the effective exploitation permeability limits determination permeability difference under exploitation thickness and economic limit just produce oil constraint, with permeability difference for female factor characterizes low permeability reservoir comprehensive characteristics and optimizing evaluation parameter, each evaluating weight coefficient and integrate score is calculated by grey correlation, integrated economics is Liquid output determination fitness-for-service assessment standard just, carries out low permeability reservoir validity evaluation of classification.Achieve following breakthrough: 1) accurately asked for economic limit just produce oil and the low permeability reservoir effective exploitation permeability limits under developing thickness constraints, made permeability mathematic interpolation more accurate; 2) permeability difference is incorporated in quantitative classification evaluating as female factor, more accurately reasonably characterizes the comprehensive characteristics of low permeability reservoir when eliminating buried depth and affecting effective reservoir; 3) with the foundation that Effective Reservoirs percentage composition is individual scores, the reasonable Quantitative marking of qualitative parameter in quantitative classification evaluation is achieved; 4) introduce economic just Liquid output, as evaluation of classification standard, evaluation result to be combined with economic benefit, to establish practicality evaluation of classification standard.
To sum up, utilize described evaluation of classification method of the present invention to solve in low permeability reservoir validity evaluation of classification physical property lower limit to calculate inaccurate, rational evaluation parameter and determine the key issues such as difficulty, practicality criteria for classification be indefinite, improve accuracy and the practicality of hyposmosis clastic reservoir rock validity evaluation of classification.
Can be found (see table 8) by contrast, in the present embodiment, the hyposmosis-super-low permeability reservoir Further Division divided in national sector standard Oil/Gas Reservoir Assessment method (SY/T6258-1997) (table 7) is 4 types by the result of evaluation of classification, and specify that the economy just Liquid output size of every type reservoir, instruct effect more obvious for exploration and development.
Table 7: national sector standard Oil/Gas Reservoir Assessment method (SY/T6258-1997)
Table 8: hyposmosis clastic reservoir rock validity comprehensive and quantitative evaluation of classification result and general category Comparative result
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.

Claims (8)

1., based on a hyposmosis clastic reservoir rock efficiency evaluation method for exploitation permeability limits, it is characterized in that, the method comprises:
The step that the first produce oil of A, economic limit and the effective exploitation permeability limits under developing thickness constraints are asked for;
B, based on permeability difference evaluating preferably and the step of individual scores;
C, the step calculated based on weight coefficient and the integrate score of grey correlation analysis;
D, step based on the first low permeability reservoir validity evaluation of classification of Liquid output of economy.
2., as claimed in claim 1 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, steps A comprises further:
A1, set up low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis;
A2, set up economic limit just produce oil with reservoir buried depth, the declinable plate of crude oil price;
A3, ask for the low permeability reservoir permeability limits of economic limit just under produce oil and exploitation thickness constraints.
3., as claimed in claim 2 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, described steps A 1 comprises following process:
A11, for low permeability reservoir research block target zone position, the every data of Pressure Curve in Oil Testing Well section obtained with oilfield oil testing pilot production and parameter, for foundation, determine the daily fluid production rate of the individual well Pressure Curve in Oil Testing Well section degree of depth and correspondence thereof;
A12, according to drill cores, survey log data, utilize BendLinkEX software, draw compound logging figure, survey the comprehensive analysis of well logging response by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness, calculate individual well Pressure Curve in Oil Testing Well section unit thickness daily fluid production rate;
A13, get individual well Pressure Curve in Oil Testing Well section low permeability reservoir drill cores, drill through core sample, adopt GDS-9F gas permeability detector to carry out permeability test to institute's coring sample, calculate individual well Pressure Curve in Oil Testing Well section low permeability reservoir mean permeability according to physical property measurement result;
A14, according to individual well Pressure Curve in Oil Testing Well section genesis analysis situation, low permeability reservoir is divided into different depth intervals in the vertical, take permeability as abscissa, unit thickness daily fluid production rate is ordinate, draws each depth intervals low permeability reservoir unit thickness daily fluid production rate and mean permeability Core analysis.
4., according to claim 2 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, described steps A 2 comprises following process:
A21, according to low permeability reservoir character, cost of production, each constraints of oil gas price, and according to the first produce oil acquiring method of the economic limit of formula (1), in conjunction with oil field actual production management state, determine reservoir drilling well investment, ground investment, individual well operating cost, year composite declining rate, time rate, the exchange rate, ton bucket coefficient, ton oil expense, composite tax rate, resources tax, commodity rate, operating cost increase rate, oil-water well coefficient, evaluate time limit each key parameter;
Wherein: q 0min: Economic Limit Initial Rating of Oil Wells, t/d; K 0: unit drilling cost, unit/m; H: well depth, m; I b: individual well surface construction is invested, Wan Yuan; β: oil-water well coefficient, decimal; C 0: individual well operating cost, Wan Yuan; I: operating cost year increase rate, decimal; T: evaluate the time limit, a; τ 0: year production time efficiency, d; α 0: crude oil commodity rate, decimal; η: year composite declining rate, decimal; M: oil price, unit/t; γ: composite tax rate, decimal; N: ton oil resources tax, unit/t; P: ton oil expense, unit/t;
A22, be abscissa with drilling depth, economic limit just produce oil is ordinate, set up economic limit just produce oil with reservoir buried depth, the declinable plate of crude oil price.
5., according to claim 2 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, described steps A 3 comprises following process:
A31, according to the low permeability reservoir genesis analysis depth intervals divided, calculate economic limit corresponding to each intermediate depth just produce oil, in conjunction with low permeability reservoir moisture content, calculate the daily fluid production rate that intermediate depth reservoir is corresponding;
A32, according to exploitation thickness, calculate the unit thickness economic limit daily fluid production rate that each intermediate depth is corresponding, bring this depth intervals unit thickness daily fluid production rate and mean permeability Core analysis into, ask for the permeability that each intermediate depth of different exploitation thickness low permeability reservoir is corresponding, the hyposmosis clastic reservoir rock effective exploitation permeability limits namely under economic limit just produce oil constraint;
A33, then utilize data processing software matching identical exploitation thickness hyposmosis clastic reservoir rock to help the functional relation of the lower effective exploitation permeability limits of the limit just produce oil constraint and buried depth, so set up the first produce oil of different exploitation thickness low permeability reservoir economic limit retrain under effective exploitation permeability limits and the functional relation of buried depth.
6. according to claim 1 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, described in step B, step that is preferred based on the evaluating of permeability difference and individual scores comprises:
B1, on the basis that low permeability reservoir effective exploitation permeability limits is asked for, utilize BendLinkEX software, draw compound logging figure, the comprehensive analysis of well logging response is surveyed by drill cores observation analysis and reservoir characteristic, determine individual well Pressure Curve in Oil Testing Well section reservoir cumulative thickness average, select the effective exploitation permeability limits under corresponding exploitation thickness;
B2, with permeability difference for female factor, eliminate impact that buried depth evaluates effective reservoir with the comprehensive characteristics of accurate characterization low permeability reservoir;
B3, utilize laser particle size analyzer carry out particle size analysis in conjunction with core observation analyze conclusion, the lithology type of low permeability reservoir is divided;
B4, utilize acoustic travel time logging data acquisition equivalent depth method to calculate strata pressure, in conjunction with oil test data observed pressure data, the Characteristics of Geopressure of low permeability reservoir is divided;
B5, the saturating reverse-biased light microscope of utilization numeral identify under carrying out Diagenesis feature mirror, utilize the saturating reverse-biased light microscope of numeral and image analysis software and rock core body of casting analytical system, adopt and manually draw the method combined with computer image analysis, the power that each diagenesis types of quantitative statistics affects reservoir pore space, by diagenesis event and affect based on power, the Diagenetic Facies type of low permeability reservoir is divided;
B6, utilize rock core compound logging data in conjunction with core observation describe, the oiliness feature of reservoir is divided;
B7, add up Effective Reservoirs ratio in different lithology, Characteristics of Geopressure, Diagenetic Facies type, oiliness character control reservoir respectively, draw the Effective Reservoirs percentage composition frequency histogram under each governing factor effect; With the foundation that Effective Reservoirs percentage composition is individual scores, adopt parameter value to carry out standardization than upper similar parameter maximum, realize the individual scores of each evaluating.
7. according to claim 1 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, the step calculated based on the weight coefficient of grey correlation analysis and integrate score described in step C specifically comprises:
C1, select different permeability difference, different governing factor comprehensive function representative data carries out grey correlation analysis, by calculating the absolute difference between each sub-factor and female factor, obtains absolute difference maximum value and minimum value; Described incidence coefficient design formulas is:
Wherein, M is absolute difference maximum value, and m is absolute difference minimum value, Δ ti () is the absolute difference of the relatively female factor of a t data point i evaluating, getting resolution ratio ξ is 0.5, calculates the incidence coefficient of evaluating relative to female factor at Arbitrary Digit strong point;
C2, ask for the average of the identical evaluating of different pieces of information point relative to female correlate coefficient by formula (3), obtain degree of association γ=(a, b, c, the d) of petrofacies, strata pressure, Diagenetic Facies, oiliness relative permeability difference;
C3, be normalized by formula (4) after obtain weight coefficient α=(A, B, C, the D) of each evaluating;
C4, by formula (5) according to the weight coefficient of each parameter, be multiplied by individual scores respectively, try to achieve individual event balance mark, each parameter individual event balance mark is added the overall merit mark REI namely obtaining each evaluating data point;
Wherein: in formula (3) ~ (5), n is the number participating in evaluating data point; M is the number of the evaluation of classification parameter determined.
8. according to claim 1 based on the hyposmosis clastic reservoir rock efficiency evaluation method of exploitation permeability limits, it is characterized in that, specifically comprise based on the step of the low permeability reservoir validity evaluation of classification of the first Liquid output of economy described in step D:
According to the corresponding relation of Liquid output at the beginning of overall merit mark REI and economy, with economy just Liquid output size and be distributed as classification foundation, final classification results is evaluated, sets up the evaluation criterion of hyposmosis clastic reservoir rock, realize the evaluation of classification of low permeability reservoir validity.
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