CN104462859A - Oil and gas resource recovery coefficient determining method - Google Patents
Oil and gas resource recovery coefficient determining method Download PDFInfo
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- CN104462859A CN104462859A CN201410852345.XA CN201410852345A CN104462859A CN 104462859 A CN104462859 A CN 104462859A CN 201410852345 A CN201410852345 A CN 201410852345A CN 104462859 A CN104462859 A CN 104462859A
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Abstract
The invention provides an oil and gas resource recovery coefficient determining method. The method includes the steps that calibration recovery ratio data of an area to be developed are obtained, the calibration recovery ratio data are preprocessed, and oil and gas occurrence type division relevant to the recovery coefficient is conducted on the preprocessed calibration recovery ratio data according to geological conditions; multiple geological factors influencing the recovery ratio and the influences of the oil recovery technology on the recovery ratio are determined; a multiple linear regression is used for establishing a multiple linear regression equation between the recovery ratio and geological factors, and the multiple linear regression equation serves as a recovery ratio geological evaluation model; the final recovery coefficient of the area to be developed is determined according to the established recovery ratio geological evaluation model. The oil and gas resource recovery coefficient determining method solves the technical problem that in the prior art, the recovery coefficient of an area to be developed and a low exploration area cannot be effectively evaluated and achieves the technical effects that the recovery coefficient of the area to be developed and the low exploration area is evaluated and an evaluation result is accurate and effective.
Description
Technical field
The present invention relates to petroleum geology exploration technical field, particularly a kind of hydrocarbon resources can adopt coefficient defining method.
Background technology
At present, a lot of large oilfield due to recovery time long, the oil in major path has been exploited complete, is faced with the difficult problem how improving recovery ratio.But, in Current resource evaluation, the evaluation of mining resources amount is both for the zone (or block) of high exploratory development degree, also for low exploration activity field or the zone (or block) treating exploratory development, the Space Categories expanded mining resources amount and evaluate thus is needed badly.
About the research can adopted in coefficient, at present mainly according to the trends exploitation data of high exploratory development zone (or block), considering the original difference with gas saturation time discarded of dynamic reserve ratio, water drive gas reservoir, setting up the relation of gas deposit recovery efficiency and workable reserve by revising volumetric method.In addition, the method improving recovery ratio is exactly mainly: the technology such as electroacoustic excitation mass transfer, oil viscosity reduction bacterium, reduction crude oil elasticity tension chemical flooding, surfactant and ternary composite driving, mainly for the zone (or block) of high exploratory development.The oil gas field at exploration initial stage is in as Deep Oil And Gas Exploration exploratory area, Tarim Oilfield tower east, fine and close oily exploratory area, Xinjiang Oilfield Jimusar etc., many blocks do not have actual Production development data, EUR method cannot be adopted to evaluate mining resources amount, thus cannot evaluate and can adopt coefficient.
For the problems referred to above, the method finally can adopting coefficient effectively determining to study zone (or block) is not yet proposed at present.
Summary of the invention
Embodiments provide a kind of hydrocarbon resources and can adopt coefficient defining method, to solve the technical matters that the coefficient adopted effectively cannot treating development area and low exploration area in prior art carries out evaluating, the method comprises:
Obtain the demarcation recovery ratio data in development area;
Pre-service is carried out to described demarcation recovery ratio data, rejects the local anomaly high level in described demarcation recovery ratio data and local anomaly low value;
According to geologic condition, carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient to pretreated demarcation recovery ratio data;
According to the division result of Oil And Gas Occurrence type, determine the multiple geologic agents affecting recovery ratio;
According to pretreated demarcation recovery ratio data, determine the impact of oil recovery technique on recovery ratio;
According to pretreated demarcation recovery ratio data and oil recovery technique on the impact of recovery ratio, the geologic agent with correlationship is rejected from described multiple geologic agent, and adopt multiple linear regression to set up multiple linear regression equations between recovery ratio and geologic agent, using described multiple linear regression equations as recovery ratio geologic assessment model;
Determine whether multiple correlation coefficient when setting up described multiple linear regression equations is more than or equal to predetermined precision threshold, if, then using current recovery ratio geologic assessment model as the recovery ratio geologic assessment model determined, if not, then again pre-service is carried out to the demarcation recovery ratio data obtained, until the multiple correlation coefficient of the recovery ratio geologic assessment model set up is more than or equal to predetermined precision threshold;
That determines district to be developed according to the recovery ratio geologic assessment model set up finally can adopt coefficient.
In one embodiment, described development area comprises: exploitation zone and/or development block.
In one embodiment, according to geologic condition, carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient to pretreated demarcation recovery ratio data, comprising:
Be partitioning standards according to reservoir lithology, Trap Typesof, reservoir space type and permeability, carry out the division can adopting the Oil And Gas Occurrence type that coefficient is correlated with.
In one embodiment, the Oil And Gas Occurrence type after division comprise following one or more: self-contained height oozes sandrock-type, self-contained low-permeability sandstone type, fault block are high oozes sandrock-type, fault block low-permeability sandstone type, seam hole Carbonate Type, hill carbonate type, Conglomerate Type, Volcanic-type, Metamorphic Rock Type, thick oil type, fine and close oil type, shale oil type, resinous shale oil type and oil-sand lithotype.
In one embodiment, according to the division result of Oil And Gas Occurrence type, determine the multiple geologic agents affecting recovery ratio, comprising:
By to the demarcation recovery ratio data being divided into different Oil And Gas Occurrence type, carry out cluster analysis, set up the accumulated probability distribution plan of the coefficient adopted of often kind of Oil And Gas Occurrence type, the probability distribution graph according to setting up determines multiple geologic agent affecting recovery ratio.
In one embodiment, according to pretreated demarcation recovery ratio data, determine the impact of oil recovery technique on recovery ratio, comprising:
Determine recovery ratio distribution characteristics and recovery ratio rising tendency feature;
According to the recovery ratio distribution characteristics determined and recovery ratio rising tendency feature, determine that secondary oil recovery and/or tertiary oil recovery are on the impact of overall recovery factor.
In one embodiment, from described multiple geologic agent, reject the geologic agent with correlationship, comprising:
By recovery ratio and the monofactorial correlationship scatter diagram differently between quality factor, determine between recovery ratio for the geologic agent of positive correlation and and recovery ratio between be the geologic agent of negative correlativing relation;
According to determine and between recovery ratio for the geologic agent of positive correlation and and recovery ratio between be the geologic agent of negative correlativing relation, classification analysis is carried out to geologic agent, determines the relatively independent geologic agent affecting recovery ratio.
In one embodiment, the relatively independent geologic agent affecting recovery ratio determined comprises: reservoir porosity, viscosity of crude and initial gas-oil ratio.
In one embodiment, set up in the process of the multiple linear regression equations between recovery ratio and geologic agent at employing multiple linear regression, said method also comprises:
Generate analysis of variance table;
Carry out F inspection according to described analysis of variance table, whether can carry out recovery ratio geologic assessment to check the relatively independent geologic agent affecting recovery ratio determined.
In embodiments of the present invention, based on the foundation of the Analysis The Main Control Factor and Ke Cai factor evaluation model that can adopt coefficient, the evaluation making to adopt coefficient from high exploration region specific to low exploration region and untapped zone, extend the Space Categories can adopting factor evaluation, the evaluation making can to adopt coefficient to hydrocarbon resources is specially from the evaluation of workable reserve/geologic reserve in the past and evaluates zone (or block) hydrocarbon resources by geologic agent and can adopt coefficient, coefficient can be adopted from there being exploitation well evaluation zone (or block) hydrocarbon resources and can adopt factor evaluation specific to all zone (or block) hydrocarbon resources, thus solve the technical matters cannot evaluating zone (or block) mining resources amount in prior art without production data, and the method has considered secondary oil recovery and tertiary oil recovery Development Factors, the coefficient adopted evaluated out has more reliability.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a application's part, does not form limitation of the invention.In the accompanying drawings:
Fig. 1 is the method flow diagram can adopting coefficient defining method according to the hydrocarbon resources of the embodiment of the present invention;
Fig. 2 can adopt factor evaluation standard accumulated probability distribution plan according to the oil of the embodiment of the present invention;
Fig. 3 can adopt factor evaluation standard accumulated probability distribution plan according to the rock gas of the embodiment of the present invention;
Fig. 4 is according to the single factor test correlationship scatter diagram between the recovery ratio of the embodiment of the present invention and maximum air permeability;
Fig. 5 is according to the single factor test correlationship scatter diagram between the recovery ratio of the embodiment of the present invention and factor of porosity;
Fig. 6 is according to the single factor test correlationship scatter diagram between the recovery ratio of the embodiment of the present invention and crude oil density in stock tank;
Fig. 7 is according to the single factor test correlationship scatter diagram between the recovery ratio of the embodiment of the present invention and ground viscosity of crude;
Fig. 8 is according to the monofactorial correlationship scatter diagram between the recovery ratio of the embodiment of the present invention and crude oil density in stock tank;
Fig. 9 is according to the correlationship schematic diagram between the oil density of the embodiment of the present invention and oil viscosity;
Figure 10 is according to the relation schematic diagram between the permeability of the embodiment of the present invention and factor of porosity;
Figure 11 is according to the comparative analysis schematic diagram between the forecast recovery factor of the embodiment of the present invention and actual measurement recovery ratio;
Figure 12 can adopt coefficient cumulative probability distribution schematic diagram according to the oil field, Daqing exploration area of the embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with embodiment and accompanying drawing, the present invention is described in further details.At this, exemplary embodiment of the present invention and illustrating for explaining the present invention, but not as a limitation of the invention.
Difficult problem is evaluated in order to solve mining resources amount, propose a kind of hydrocarbon resources in this example and can adopt coefficient defining method, the method is in conjunction with the multi-door subject such as mathematical geology and petroleum geology, emphasis resolves the zone (or block) of high exploratory development, determine to affect the Dominated Factors can adopting coefficient, adopt multiple linear regression analysis, reject the variable with correlationship, reach and can adopt the requirement that in factor evaluation model, each variable is separate, the evaluation of foundation geologic agent can adopt the model of coefficient, as shown in Figure 1, this hydrocarbon resources can be adopted coefficient defining method and comprise:
Step 101: the demarcation recovery ratio data obtaining development area;
Step 102: carry out pre-service to described demarcation recovery ratio data, rejects the local anomaly high level in described demarcation recovery ratio data and local anomaly low value;
Step 103: according to geologic condition, carries out adopting the relevant Oil And Gas Occurrence Type division of coefficient to pretreated demarcation recovery ratio data;
Step 104: according to the division result of Oil And Gas Occurrence type, determines the multiple geologic agents affecting recovery ratio;
Step 105: according to pretreated demarcation recovery ratio data, determine the impact of oil recovery technique on recovery ratio;
Step 106: according to pretreated demarcation recovery ratio data and oil recovery technique on the impact of recovery ratio, the geologic agent with correlationship is rejected from described multiple geologic agent, and adopt multiple linear regression to set up multiple linear regression equations between recovery ratio and geologic agent, using described multiple linear regression equations as recovery ratio geologic assessment model;
Step 107: determine whether multiple correlation coefficient when setting up described multiple linear regression equations is more than or equal to predetermined precision threshold, if, then using current recovery ratio geologic assessment model as the recovery ratio geologic assessment model determined, if not, then again pre-service is carried out to the demarcation recovery ratio data obtained, until the multiple correlation coefficient of the recovery ratio geologic assessment model set up is more than or equal to predetermined precision threshold;
Step 108: that determines district to be developed according to the recovery ratio geologic assessment model set up finally can adopt coefficient.
In this example, by can adopt the foundation of the model of coefficient based on the evaluation of geologic agent, overcome in prior art the technical matters that the coefficient adopted effectively cannot treating exploitation zone (or block) and low exploration region (or block) carries out evaluating, to make the evaluation can adopting coefficient from the zone (or block) of high exploratory development, specific to low exploration region (or block) and zone to be developed (or block), whether to carry out next step exploratory development for zone (or block) and provide guiding suggestion.
Concrete above-mentioned hydrocarbon resources can be adopted coefficient defining method and can be divided into following step:
Step 1: the demarcation recovery ratio data compiling existing exploitation zone (or block), such as, can collect the demarcation recovery ratio data of national each oil gas field (zone/block), submission geologic reserve data with can adopt geologic reserve data;
Step 2: recovery ratio data prediction, namely judges Outlier Data (local anomaly high level and abnormal low value) and processes, such as: can be checked and write off the time by verification reserves publication determination reserves and be checked and write off reserves data, rejecting abnormalities information point;
Step 3: carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient according to geologic condition, concrete, under different geological conditions, Oil And Gas Occurrence state is different, its recovery ratio maybe can be adopted coefficient and also be there is difference because geologic condition is different, such as: 1. oil aspect, the geologic agent of coefficient can be adopted in order to obtain impact and set up the relational model can adopting coefficient and geologic agent, (in often kind of Trap Typesof, determining the geologic agent that it is had an impact) can be classified to data by Trap Typesof, then on Trap Typesof basis of classification, the corresponding relation of the recovery ratio and geologic agent of setting up often kind of Trap Typesof contrasts, thus to establish out in dissimilar Oil Trap impact and can adopt the geologic agent of coefficient and the relational model of coefficient can be adopted, 2. rock gas aspect, the research contents can adopting coefficient comprise natural gas pool classification and sentence knowledges, the determination of index impacts factor can be adopted, dissimilar gas reservoir can adopt coefficient value establishment of standard, new standard is checked and five parts such as the coefficient adopted of each large gas bearing basin,
Step 4: the analysis of Influential Factors that factor evaluation can be adopted: can according to the Data classification result in step 3, the geologic agent of analyzing influence recovery ratio, by setting up geologic agent and recovery ratio correlationship, determines the main controlling geological factors affecting recovery ratio;
Step 5: the Potentials improving recovery ratio, such as, can compiling based on high degree of prospecting continental oil-gas field recovery ratio related data, technology such as statistics secondary oil recovery and tertiary oil recovery etc., improving the impact effect in recovery factor potential, determines that secondary oil recovery and tertiary oil recovery are to the contribution of ultimate recovery factor;
Step 6: geologic parameter evaluation can adopt the foundation of Modulus Model, the development technique that affecting of can determining in integrating step 4 is determined in recovery ratio main controlling geological factors and step 5 is on the impact of recovery ratio, and recovery ratio data are demarcated in pretreated oil field in step 2, adopt multiple linear regression equations, reject the variable with correlationship, reach the requirement can adopting each variable mutual independence in factor evaluation model, set up recovery ratio geologic assessment model;
Step 7: carry out the soundness verification can adopting factor evaluation model, concrete, can (degree of prospecting be high in binding district, have actual oil recovery data) geologic parameter, foundation can adopt factor evaluation model, and apply and can adopt factor evaluation model, if calculated value and measured value reach accuracy requirement (such as, ξ=0.725 can be set), then show that the recovery ratio geologic assessment model set up is accurately, can apply, if do not reach accuracy requirement, then return above-mentioned steps 2, check whether there is discrete abnormity point, until the model set up reaches accuracy requirement, thus show that a set of zone (or block) hydrocarbon resources meeting geologic concepts can adopt the evaluation model of coefficient,
Step 8: determine to adopt coefficient, that can evaluate oily zone (or block) in conjunction with above-mentioned steps 5 to 7 when specifically determining to adopt coefficient finally can adopt coefficient.
Consider that the geologic agent affecting rock gas is fewer, therefore in above-mentioned flow process, if the evaluation of coefficient can be adopted to rock gas, so only need to compile to 3 the natural gas pool demarcated according to step 1 and can adopt coefficient, rejecting abnormalities information point, set up the factor evaluation the adopted standard of natural gas pool type, other block direct basis natural gas pool type can adopt in conjunction with natural gas pool that factor evaluation standard is given adopts coefficient, if the evaluation of coefficient can be adopted to oil, because the geologic agent related to is more, need geologic parameter evaluation zone (or block) hydrocarbon resources forming complete set according to above-mentioned steps 1 to 8 can adopt the evaluation that factor evaluation standard carries out adopting coefficient.
In above-mentioned steps 3, carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient according to petroleum geologic conditions, the oil reservoir of institute's evaluating oilfield is carried out to Trap Typesof division, carries out gas reservoir types identification to gas reservoir, reasonable, reliable to guarantee the coefficient adopted calculated, concrete, the division of Oil And Gas Occurrence type can be carried out according to following principle:
1) be divided into according to lithology and special oil gas resource type: sandrock-type, Carbonate Type, Conglomerate Type, Volcanic-type, Metamorphic Rock Type, thick oil type, fine and close oil type, shale oil type, resinous shale oil type and oil-sand lithotype;
2) be divided into oil reservoir actual characteristic according to the practice of current oil and gas development: self-contained sandrock-type, fault block sandrock-type, self-contained Carbonate Type, fault block Carbonate Type, difference that is self-contained and fault block is not existed for other lithology type and special resource type;
3) be divided into oil field quality discrepancy according to hydrocarbon-bearing pool permeability height: height oozes type, hypotonic type;
Comprehensive mentioned above principle 1 to 3 can combine to set up can adopt the relevant Oil And Gas Occurrence Type division scheme of coefficient, by Oil And Gas Occurrence Type division be: self-contained height oozes sandrock-type, self-contained low-permeability sandstone type, fault block is high oozes sandrock-type, fault block low-permeability sandstone type, seam hole Carbonate Type, hill carbonate type, Conglomerate Type, Volcanic-type, Metamorphic Rock Type, thick oil type, fine and close oil type, shale oil type, resinous shale oil type and oil-sand lithotype, totally 14 types.
Inventor is by compiling the recovery ratio data that each oil gas field has been demarcated, filter out 16 basin oil altogether and can adopt coefficient data 18000 points, then according to above-mentioned steps 3 with reservoir lithology, Trap Typesof, reservoir space type, permeability for partitioning standards, establish oil as shown in table 1 and can adopt factor evaluation standard scale; Be total to statistical study more than 3200 rock gas and can adopt coefficient data point, with reservoir lithology, Trap Typesof, reservoir space type, permeability for partitioning standards, establish rock gas as shown in table 2 and can adopt factor evaluation standard scale:
Table 1
Table 2
In uncertainty analysis, relatively low owing to adopting coefficient, the coefficient adopted under adopting cumulative probability method to calculate different probability, can understand well and a certainly adopt the possibility that coefficient occurs in a certain interval, thus sets up and effectively can adopt coefficient application system.The probability distribution graph that oil can adopt coefficient as shown in Figure 2, the probability distribution graph that rock gas can adopt coefficient as shown in Figure 3, namely pass through the demarcation recovery ratio data being divided into different Oil And Gas Occurrence type, carry out cluster analysis, set up the accumulated probability distribution plan of the coefficient adopted of often kind of Oil And Gas Occurrence type, the probability distribution graph according to setting up determines multiple geologic agent affecting recovery ratio.
The Potentials improving recovery ratio in above-mentioned steps 5 can be in ripe exploratory development block secondary oil recovery, tertiary oil recovery actual effect basis completes analysis and research, and the oil reservoir of institute's evaluating oilfield can adopt coefficient data in integrating step 3 and step 4, guarantee to adopt Modulus Model and can to adopt coefficient value standard reasonable, reliably, concrete can be different with choosing method according to the oilfield exploitation degree of depth oil recovery technique, can be rely on oilfield exploitation divided stages the primary oil recovery of storage gas pressure crude-oil production and utilize the secondary oil recovery of water filling addedly stressor layer, and using microbe method, chemical method, mixed phase method, heating power methods etc. improve the tertiary oil recovery etc. of oil recovery factor.According to the difference of the chemical substance selected, chemical method can also be divided into polymer flooding, alkali drives, combination flooding and surfactant flooding etc. are multiple, mixed phase method can be divided into again that inert gas mixed phase drives, hydrocarbon mixed phase drives and drives with solvent miscible, and heating power method comprises combustion (of oil) in site and steam flood etc. again.On primary oil recovery basis, secondary oil recovery, tertiary oil recovery technology are the Main way improving recovery ratio research at present.
In this example, can by the geologic feature of continental oil fields, the ripe exploratory development block of detailed dissection continental oil fields, determine its master recovery rate distribution characteristics and recovery ratio rising tendency feature, such as, inventor sums up secondary oil recovery and tertiary oil recovery to the contribution of overall recovery factor, and about year improves recovery ratio about 0.2%.
Set up geologic parameter evaluation in above-mentioned steps 6 can adopt in the process of Modulus Model, can be carry out adopting Oil And Gas Occurrence Type division result that coefficient is correlated with according to geologic condition and factor standard can be adopted in integrating step 3 setting up, also set up according to the Potentials result etc. of institute's evaluating oilfield raising recovery ratio in the coefficient the adopted Dominated Factors determined in step 4, step 5 simultaneously, thus guarantee that the Modulus Model adopted calculated is reasonable, reliable, mainly comprise following two parts:
1) impact can adopt the analysis of the Dominated Factors of coefficient:
By carrying out cluster analysis to the coefficient adopted of dissimilar zone (or block), dissect the productivity characteristic having developed hydrocarbon-bearing pool, determine to affect the Dominated Factors that it can adopt coefficient, such as can by the monofactorial correlationship scatter diagram between recovery ratio and main geologic factor, analyze between which geologic agent (also can be referred to as Geological Variable) and recovery ratio and show as positive correlation or negative correlativing relation, which geologic agent and can adopt between coefficient and there is not linear relationship.Carry out the classification analysis of geologic agent, thus determine that impact can adopt the relatively independent geologic agent of coefficient.
2) hydrocarbon resources can adopt the foundation of coefficient prediction model:
1. multiple linear regression model
If dependent variable y and independent variable x
1, x
2x
mtotal n group actual observation data, assuming that there is linear relationship between dependent variable y and independent variable, its mathematical model is:
y
j＝b
0+b
1x
1j+b
2x
2j+……+b
mx
mj+e
j
Wherein, j=1,2 ... n, y
j=b
0+ b
1x
1j+ b
2x
2j+ ... + b
mx
mj+ e
j, x
1, x
2x
mfor the one group of variable that can observe, y represents the stochastic variable of observation, and y is with x
1, x
2x
mchange and change, and be subject to the impact of test error, e
jfor separate and all obey standardized normal distribution, x in this formula
1, x
2x
mcan represent that impact can adopt the Dominated Factors of coefficient, y can represent that oil field is demarcated can adopt coefficient.
2. the linear regression analysis of index impacts factor can be adopted
The prerequisite of multiple linear regression is independent separately between requirement independent variable, therefore, need first to carry out correlation between variables inspection, reject the geologic agent that wherein there is correlationship, then synthetic study analysis is carried out, to determine that impact can adopt coefficient and separate geologic agent, the model can adopting coefficient for setting up geologic agent evaluation lays the foundation.
3. the foundation of regression equation
By progressively " rejecting " Return Law, obtain the multiple linear regression equations between recovery ratio and geologic agent, and analyze the multiple correlation coefficient of this equation, if the multiple correlation coefficient of this equation is greater than 0.725, can think that this equation is comparatively reliable.
4. the significance test of regression equation
List analysis of variance table according to computation process, carry out F inspection according to analysis of variance table, thus whether judgment models can be applied.
That determines oily block in above-mentioned steps 8 finally can adopt in the process of coefficient, the coefficient adopted and the secondary that can comprise geologic agent evaluation improve recovery factor potential two parts three times, secondary oil recovery in integrating step 5, tertiary oil recovery are to the year contribution rate 0.2% of ultimate recovery factor, with the coefficient adopted that geologic parameter in step 6 evaluates, finally can adopt coefficient evaluation to the oil reservoir in oil field, thus guarantee to calculate finally can adopt coefficient rationally, reliable:
In the above-described embodiments, according to the type of evaluation unit, the evaluation model that oily block (or zone) can adopt coefficient is evaluated by Geological Variable, evaluate the coefficient adopted of oil reservoir, consider secondary oil recovery, tertiary oil recovery to the year contribution rate 0.2% finally can adopting coefficient simultaneously, finally to determine the coefficient adopted of oily zone (or block), this can be adopted coefficient and consider oil gas basic geology factor and oil field dynamic research performance history, has general applicability and advance.Adopt cumulative probability method to evaluate simultaneously and can adopt coefficient cumulative probability curve distribution rule, thus a certain probability adopted coefficient and occur under can clearly expressing different geological conditions, thus effectively set up the coefficient value the adopted standard application system under different probability condition.Namely recovery ratio data are demarcated based on systematic analysis oil field, divide different Trap Typesof, determine to affect the Dominated Factors can adopting coefficient, set up the evaluation model that coefficient can be adopted in Dominated Factors and oil field, factor evaluation can be adopted and extend to low development block or block to be developed, expand the category can adopting factor evaluation, and the employing geologic agent that this example proposes evaluates the method that zone (or block) hydrocarbon resources can adopt coefficient, effectively can solve degree of prospecting lower or treat that the zone (or block) of exploratory development can adopt the problem of factor evaluation difficulty, solve the problem of oil field scientific research personnel in the face of having no way of doing it without dynamic producing well data.
Ooze sandrock-type oil reservoir for self-contained height below can adopt coefficient defining method to above-mentioned hydrocarbon resources and be described, but it should be noted that this specific embodiment is only to better the present invention is described, do not form inappropriate limitation of the present invention.
In this example, this hydrocarbon resources can be adopted coefficient defining method and comprises:
Step 1: compile existing exploitation zone (or block) and demarcate recovery ratio data: be described for a certain oily block recovery ratio related data, as shown in table 3 is the western secondary oil recovery tertiary oil recovery recovery ratio improvement value of north one or two row:
Table 3
Step 2: recovery ratio data prediction;
Step 3: carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient according to geologic condition;
Step 4: the analysis of Influential Factors that factor evaluation can be adopted, monofactorial correlationship scatter diagram between recovery ratio and main geologic factor is as shown in Fig. 4 to 8, positive correlation is shown as between reservoir permeability and recovery ratio, and this relation between variable and recovery ratio such as oil density, viscosity of crude, reservoir porosity and initial gas-oil ratio is not clearly, consider that recovery ratio is subject to the combined influence of multiple geologic agent, therefore need to carry out variable classification, be further analyzed.
The prerequisite of multiple linear regression is that requirement independent variable is independent separately, first correlation between variables inspection is carried out, as shown in Figure 9 and Figure 10, crude oil density in stock tank and viscosity also exist certain correlationship as seen from Figure 9, therefore can reject one of them independent variable, reject oil density in this example.Similarly, accompanying drawing 10 also can be utilized to reject this independent variable of permeability.
After evaluating and testing multiple data, find that the impact of initial oil saturation on recovery ratio is not obvious, therefore, the geologic agent independent variable that impact can adopt coefficient is exactly mainly: reservoir porosity, viscosity of crude and initial gas-oil ratio.
Step 5: the Potentials improving recovery ratio, such as, counting current developed field recovery ratio is 30.1%, recovery ratio has the potentiality improved further, improve recovery ratio maturing field year at 0.5-0.2%, and the technology improving recovery ratio mainly comprises: meticulous pool description technology, improving ecology technology, tertiary oil recovery technology and efficient oil production technology measure etc.
Step 6: geologic parameter evaluation can adopt the foundation of Modulus Model:
From above-mentioned data, pick out 80%, by progressively " rejecting " Return Law, obtain the multiple linear regression equations between recovery ratio and Geological Variable:
y＝0.282x
1+0.182x
2+0.153x
3+2.442
Wherein, x
1represent average pore, x
2represent initial gas-oil ratio, x
3represent ground viscosity of crude, because the multiple correlation coefficient of this fitting formula is 0.732, be greater than 0.725, therefore meet the requirement of related coefficient.
Step 7: the soundness verification can adopting factor evaluation model, lists linear regression relation analysis of variance table according to computation process, as shown in table 4, carries out F inspection:
Table 4
By df1=3, df2=114, look into F value and show to obtain F0.05 (3,114)=2.70, because F<F0.05 (3,114) shows: recovery ratio and there is linear relationship between reservoir porosity, viscosity of crude and initial gas-oil ratio.In addition, the P value of regression equation inspection is 0.59, and thus regression equation is extremely significant, x
1, x
2, x
3p value be respectively 0.4,0.2,0.06, be all greater than 0.05, therefore can determine that these three explanatory variables are also significant, can be used for prediction.
Step 8: integrating step 5 to 7 three step, supposes that the recovery ratio of primary oil recovery is 32.5, and secondary and tertiary oil recovery increase by 0.2 to the contribution improving recovery ratio future for annual, then can derive following formula according to year number:
Recovery ratio=32.5+0.2* (i-10)
Wherein, i represents productive life, i=11,11 ... 30, wherein, 10 is time limits of oil field primary oil recovery, and 11-30 is the time limit of oil field secondary tertiary oil recovery.
For oil field, Daqing exploration area, adopt the judgement schematics in step 8 to test, evaluate recovery ratio very high with the actual measurement recovery ratio goodness of fit, the recovery ratio multiple linear regression caluclate table obtained is as shown in table 5:
Table 5
Predicting the outcome as can be seen from Figure 11, actual recovery ratio and the forecast recovery factor goodness of fit very high, percentage error is all no more than 15%, illustrates that hydrocarbon resources can be adopted factor evaluation method and can accept, and possesses efficiently and accurately and thinks poorly of exploration region or treat that exploration region can adopt the ability of coefficient.Adopt cumulative probability method, evaluate and can adopt coefficient cumulative probability curve distribution rule as shown in figure 12, the a certain probability adopted coefficient and occur under can clearly expressing different geological conditions, thus coefficient value standard application system can be adopted under effectively setting up different probability condition.
In the above-described embodiments, propose a kind of hydrocarbon resources and can adopt coefficient defining method, be applied in petroleum geology exploration field, to determine the important parameter that productive resources in oilfield explorating developing process is evaluated, thus the effect that oil-gas exploration deployment decision and later stage oil and gas development plan can be affected.Based on the foundation of the master control factor analysis and Ke Cai factor evaluation model that can adopt coefficient, the evaluation making to adopt coefficient from high exploration region specific to low exploration region and untapped zone, extend the Space Categories can adopting factor evaluation, make vast oil field scientific research personnel can adopt factor evaluation to zone (or block) hydrocarbon resources to be specially from the evaluation of workable reserve/geologic reserve in the past and to evaluate zone (or block) hydrocarbon resources by geologic agent and can adopt coefficient, coefficient can be adopted from there being exploitation well evaluation zone (or block) hydrocarbon resources and can adopt factor evaluation specific to all zone (or block) hydrocarbon resources, the proposition of this method has science and universality.Evaluate zone (or block) hydrocarbon resources according to geologic parameter and can adopt factor evaluation method, in conjunction with the geological resources of this area, evaluate the object of the mining resources amount of zone (or block) with realizing fast quantification, thus solve the problem cannot evaluating zone (or block) mining resources amount in prior art without production data, whether this possesses Development volue for judgement zone to be developed (or block) has great importance, and the method has considered secondary oil recovery and tertiary oil recovery Development Factors, the coefficient adopted evaluated out has more reliability, provide the idiographic flow that zone (or block) hydrocarbon resources can adopt factor evaluation, for the actual mining resources amount appraisal in oil field provides technical support, for oil and gas resource evaluation and exploratory development, there is important using value.
Obviously, those skilled in the art should be understood that, each module of the above-mentioned embodiment of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, and in some cases, step shown or described by can performing with the order be different from herein, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the embodiment of the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the embodiment of the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. hydrocarbon resources can adopt a coefficient defining method, it is characterized in that, comprising:
Obtain the demarcation recovery ratio data in development area;
Pre-service is carried out to described demarcation recovery ratio data, rejects the local anomaly high level in described demarcation recovery ratio data and local anomaly low value;
According to geologic condition, carry out adopting the relevant Oil And Gas Occurrence Type division of coefficient to pretreated demarcation recovery ratio data;
According to the division result of Oil And Gas Occurrence type, determine the multiple geologic agents affecting recovery ratio;
According to pretreated demarcation recovery ratio data, determine the impact of oil recovery technique on recovery ratio;
According to pretreated demarcation recovery ratio data and oil recovery technique on the impact of recovery ratio, the geologic agent with correlationship is rejected from described multiple geologic agent, and adopt multiple linear regression to set up multiple linear regression equations between recovery ratio and geologic agent, using described multiple linear regression equations as recovery ratio geologic assessment model;
Determine whether multiple correlation coefficient when setting up described multiple linear regression equations is more than or equal to predetermined precision threshold, if, then using current recovery ratio geologic assessment model as the recovery ratio geologic assessment model determined, if not, then again pre-service is carried out to the demarcation recovery ratio data obtained, until the multiple correlation coefficient of the recovery ratio geologic assessment model set up is more than or equal to predetermined precision threshold;
That determines district to be developed according to the recovery ratio geologic assessment model set up finally can adopt coefficient.
2. the method for claim 1, is characterized in that, described development area comprises: exploitation zone and/or development block.
3. the method for claim 1, is characterized in that, according to geologic condition, carries out adopting the relevant Oil And Gas Occurrence Type division of coefficient, comprising pretreated demarcation recovery ratio data:
Be partitioning standards according to reservoir lithology, Trap Typesof, reservoir space type and permeability, carry out the division can adopting the Oil And Gas Occurrence type that coefficient is correlated with.
4. method as claimed in claim 3, it is characterized in that, the Oil And Gas Occurrence type after division comprise following one or more: self-contained height oozes sandrock-type, self-contained low-permeability sandstone type, fault block are high oozes sandrock-type, fault block low-permeability sandstone type, seam hole Carbonate Type, hill carbonate type, Conglomerate Type, Volcanic-type, Metamorphic Rock Type, thick oil type, fine and close oil type, shale oil type, resinous shale oil type and oil-sand lithotype.
5. the method for claim 1, is characterized in that, according to the division result of Oil And Gas Occurrence type, determines the multiple geologic agents affecting recovery ratio, comprising:
By to the demarcation recovery ratio data being divided into different Oil And Gas Occurrence type, carry out cluster analysis, set up the accumulated probability distribution plan of the coefficient adopted of often kind of Oil And Gas Occurrence type, the probability distribution graph according to setting up determines multiple geologic agent affecting recovery ratio.
6. the method for claim 1, is characterized in that, according to pretreated demarcation recovery ratio data, determines the impact of oil recovery technique on recovery ratio, comprising:
Determine recovery ratio distribution characteristics and recovery ratio rising tendency feature;
According to the recovery ratio distribution characteristics determined and recovery ratio rising tendency feature, determine that secondary oil recovery and/or tertiary oil recovery are on the impact of overall recovery factor.
7. the method for claim 1, is characterized in that, rejects the geologic agent with correlationship, comprising from described multiple geologic agent:
By recovery ratio and the monofactorial correlationship scatter diagram differently between quality factor, determine between recovery ratio for the geologic agent of positive correlation and and recovery ratio between be the geologic agent of negative correlativing relation;
According to determine and between recovery ratio for the geologic agent of positive correlation and and recovery ratio between be the geologic agent of negative correlativing relation, classification analysis is carried out to geologic agent, determines the relatively independent geologic agent affecting recovery ratio.
8. method as claimed in claim 7, it is characterized in that, the relatively independent geologic agent affecting recovery ratio determined comprises: reservoir porosity, viscosity of crude and initial gas-oil ratio.
9. method as claimed in claim 7, is characterized in that, set up in the process of the multiple linear regression equations between recovery ratio and geologic agent at employing multiple linear regression, described method also comprises:
Generate analysis of variance table;
Carry out F inspection according to described analysis of variance table, whether can carry out recovery ratio geologic assessment to check the relatively independent geologic agent affecting recovery ratio determined.
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