CN106295210A - A kind of method for quantitatively evaluating carrying out reserves blank tape Exploration Potential and system - Google Patents
A kind of method for quantitatively evaluating carrying out reserves blank tape Exploration Potential and system Download PDFInfo
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Abstract
The present invention relates to a kind of method for quantitatively evaluating carrying out reserves blank tape Exploration Potential and system, the present invention, with pit shaft data as starting point, sets up parameter model；According to parameter model, add up in the prospect pit that each primary and secondary level factor pair is answered and submitted proved reserves well head number, calculate the weights Pz of each main gene and the weights Pc of each subfactor；According to the individual well series of strata criteria for classifying, using all prospect pit accountings Pj in same series of strata subfactor well head number and reserves blank tape as evaluation object value；By evaluation object value and subfactor weights product addition under different main genes, ask for each main gene value added after, weights respective with it carry out product addition computing again, and operation result is reserves blank tape Exploration Potential value, thus completes the quantitatively evaluating to reserves blank tape Exploration Potential.The present invention is based on the most true and reliable pit shaft data, it is possible to quantitatively evaluating difference series of strata, the Exploration Potential of different oil reservoir assembly reserves blank tape.
Description
Technical field
The present invention relates to a kind of method for quantitatively evaluating carrying out reserves blank tape Exploration Potential and system, belong to oil-gas exploration
Objective appraisal technical field.
Background technology
The most commonly used objective appraisal technology overwhelming majority is all based on dual factors (geologic(al) factor, value
Factor) theoretical, actual application carries out geologic risk and value estimate two aspect comprehensive study, but in the face of geological research compares
Thoroughly, engineering the most ripe, high degree of prospecting block that geologic risk and engineering risk can effectively have been evaded, it is clear that
Geologic(al) factor does not the most possess the necessity continuing to evaluate, and also just explanation two-factor method is not particularly suited for oil gas old liberated area Exploration Potential
Evaluate, especially reserves blank tape (refering in particular to high degree of prospecting block non-proved reserves zone) quantitative assessment.On the other hand height is surveyed
Spy degree area oil reservoir increasingly tends to hidden, and it is bigger that the feature that prospect pit density is the highest makes exploration decision difficulty more come,
The necessity of reserves blank tape Exploration Potential assessment technique research still exists, and lacks reserves blank tape potentiality quantitative at present
The correlation technique evaluated.
Summary of the invention
It is an object of the invention to provide a kind of method for quantitatively evaluating carrying out reserves blank tape Exploration Potential and system, with reality
The now quantitative assessment to reserves blank tape potentiality.
The present invention solves that above-mentioned technical problem provides a kind of quantitative assessment side carrying out reserves blank tape Exploration Potential
Method, the step of the method is as follows:
1) main gene with pit shaft formation testing, well logging and log data as quantitative assessment, chooses n item from each main gene
Factor parameter, is constituted the parameter model of quantitative assessment with this；
2) according to parameter model, add up in the prospect pit that each primary and secondary level factor pair is answered and submitted proved reserves well head number, meter
Calculate the weights Pz of each main gene and the weights Pc of each subfactor；
3) according to the individual well series of strata criteria for classifying, same series of strata subfactor well head number is accounted for all prospect pits in reserves blank tape
Than Pj as evaluation object value；
4) by evaluation object value and subfactor weights product addition under different main genes, ask for each main gene value added after,
Weights respective with it carry out product addition computing again, and operation result is the reserves blank tape Exploration Potential value of each series of strata.
Each series of strata are divided according to oil reservoir assembly, according to step 1)-4) in calculate in the range of oil reservoir assembly each
The reserves blank tape Exploration Potential value of series of strata, is overlapped the reserves blank tape Exploration Potential value of each series of strata in the range of this,
Stack result is the reserves blank tape Exploration Potential value of corresponding oil reservoir assembly.
Each series of strata reserves blank tape Exploration Potential value Po is:
Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n)
Pd=Pc (1) * Pj (1)+... Pc (n) * Pj (n)
Wherein n is the item number of subfactor parameter.
The subfactor parameter chosen in each main gene is 4, and the subfactor of oil test data is respectively oil reservoir (C1), low
Oil-producing formation (C2), oil-water common-layer (C3) and oil-containing water layer (C4)；The subfactor of well-log information is respectively oil reservoir (C5), difference oil reservoir
(C6), oil-water common-layer (C7) and oil-containing water layer (C8)；The subfactor of log data is respectively oil immersion (C9), oil mark (C10), oil stain
(C11) and fluorescence (C12)。
Main gene each weights sum is 1, and N item subfactor weights sum corresponding under each main gene is also 1.
Step 2) in sovereignty factor weights Pz calculating process as follows:
A. add up and the prospect pit that each main gene is corresponding has been submitted proved reserves well head number St；
B. according to the spy having submitted proved reserves well head number St in prospect pit corresponding to each main gene and calculating corresponding main gene
Bright reserves contribution degree Gz, Gz=St/S, S are well number；
C. each main gene proved reserves contribution degree obtained being normalized, normalization result is corresponding main cause
The weights Pz of son.
Step 3) in Pj be to select the individual well difference series of strata expectation the highest subfactor of rank to carry out on different series of strata plane graphs
Demarcate, determine that different series of strata respectively demarcate the well head number that subfactor comprises, and obtain divided by this series of strata reserves clear area total well number.
If individual well difference series of strata well section exists the multinomial primary and secondary factor in reserves blank tape, choose the best expectation rank factor
Demarcate as its mark.
Present invention also offers a kind of Quantitative Evaluation System carrying out reserves blank tape Exploration Potential, this evaluation system includes
Parameter model builds module, kernel model sets up module, photoelastic evaluation value module and overall merit module,
Described parameter model builds module and is used for the main gene with pit shaft formation testing, well logging and log data as quantitative assessment,
From each main gene, choose N item subfactor parameter, constituted the parameter model of quantitative assessment with this；
Described kernel model sets up module for according to parameter model, adding up in the prospect pit that each main gene is corresponding and submit
Proved reserves well head number, calculates the weights Pz of each main gene and the weights Pc of each subfactor；
Described photoelastic evaluation value module for according to the individual well series of strata criteria for classifying, by same series of strata subfactor well head number with
In reserves blank tape, all prospect pit accountings Pj are as evaluation object value；
Described overall merit module, for by evaluation object value and subfactor weights product addition under different main genes, is asked
Take each main gene value added after, then weights respective with it carry out product addition computing, and it is blank that operation result is each series of strata reserves
Band Exploration Potential value.
Reserves blank tape Exploration Potential value Po is:
Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n)
Pd=Pc (1) * Pj (1)+... Pc (n) * Pj (n)
Wherein n is the item number of subfactor parameter.
The invention has the beneficial effects as follows: first the present invention with pit shaft data as starting point, carries out between itself and Exploration Potential
Correlation research, set up parameter model；Then according to parameter model, add up and the prospect pit that each main gene is corresponding has been submitted spy
Bright reserves well head number, calculates the weights Pz of each main gene and the weights Pc of each subfactor；According to the individual well series of strata criteria for classifying, will be with
One series of strata subfactor well head number and all prospect pit accountings Pj in reserves blank tape are as evaluation object value；By evaluation object value
From subfactor weights product addition under different main genes, ask for each main gene value added after, then with its each weights carry out product phase
Adding computing, operation result is reserves blank tape Exploration Potential value, thus completes the quantization to reserves blank tape Exploration Potential
Evaluate.The present invention is based on the most true and reliable pit shaft data, it is possible to quantitatively evaluating difference series of strata, different oil reservoir assembly reserves are empty
The Exploration Potential of leucorrhea so that exploration decision person can shoot the arrow at the target, and efficiently excavates remaining resource potential, sufficiently lower exploration
Difficulty, overall technical architecture is rational in infrastructure, workable, it is possible to provide science and technology for the development of Domestic Oil And Gas Fields Development Strategy
Support.
Accompanying drawing explanation
Fig. 1 is the flow chart that the present invention carries out the method for quantitatively evaluating of reserves blank tape Exploration Potential；
Fig. 2 is Biyang Sag h3 1Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 3 is Biyang Sag h3 2Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 4 is Biyang Sag h3 3Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 5 is Biyang Sag h3 4Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 6 is Biyang Sag h3 5Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 7 is Biyang Sag h3 6Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 8 is Biyang Sag h3 7Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Fig. 9 is Biyang Sag h3 8Series of strata reserves blank tape prospect pit highest level subfactor calibration maps；
Figure 10 is Biyang Sag oil-accumulating unit division result figure.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described further.
A kind of embodiment of the method for quantitatively evaluating carrying out reserves blank tape Exploration Potential of the present invention
Face, for solving Domestic Old oil field, the problem that old liberated area degree of prospecting is high, difficulty is big, the present invention with pit shaft data for going out
Send out point, carry out the correlation research between itself and Exploration Potential, by setting up parameter model, carry out primary and secondary according to parameter model
Factor weights computing, sets up core evaluation model, evaluation object carries out elastic value and imports core evaluation model, storing up
Amount blank tape Exploration Potential calculates, and completes quantitatively evaluating.The method realize flow process as it is shown in figure 1, the method was embodied as
Journey is as follows.
1. set up parameter model
In order to effectively utilize high degree of prospecting block pit shaft this feature of data relative abundance, the present invention is crucial by Zhen Ding
Parameter sets up the dependency between itself and Exploration Potential, is found by practical study, and most exploration decision persons provide for difference
Material type, same data type difference conclusion is subjective exists different expectations, and such as two reserves blank zone of A, B are with having four
Mouth well, the well formation testing of four mouthfuls of A district is fuel-displaced, and four mouthfuls of B district well non-formation testing only well log interpretation is oil reservoir, then can be more than B for the expectation of A district
District, if same four mouthfuls of A district well formation testing conclusion is aqueous oil reservoir, the same formation testing in B district and conclusion are oil reservoir, then inevitable for B
District's expectation is more than A district.The present invention chooses formation testing, well logging, log data as three main gene parameters, and numbering is denoted as Z1、Z2、Z3,
Expecting that rank weakens successively, each main gene parameter comprises four subfactor parameters (C), expectation rank weakens successively, is respectively
Oil test data [oil reservoir (C1), low yield oil reservoir (C2), oil-water common-layer (C3), oil-containing water layer (C4)], well-log information [oil reservoir (C5), poor
Oil reservoir (C6), oil-water common-layer (C7), oil-containing water layer (C8)], log data [oil immersion (C9), oil mark (C10), oil stain (C11), fluorescence
(C12)] amount to ten binomial subfactor parameters.
2. set up kernel model
There is dependency in selected parameter and Exploration Potential, the present invention by weights quantify different primary and secondary factor parameter with
The dependency size of Exploration Potential, the final quantization achievement of Exploration Potential is i.e. proved reserves, and the same expectation rank factor comprises
Well number also can count, and there is notch cuttype difference, proved reserves expect what the highest factor of rank comprised during submitting
Well credibility is the highest, then in proved reserves areal extent, prospect pit number and the different stage primary and secondary factor comprise gesture between well head number
Must there is accounting relation, can be described as proved reserves contribution margin (G), this value can be used to calculate further weights, and such as certain block is
Bore 100 mouthfuls of wells, within proved reserves area, there is prospect pit 20 mouthfuls, remove and manage, existing have log data 90 mouthfuls of anthropic factor,
70 mouthfuls of well-log information, 30 mouthfuls (notes: 1 mouthful of well comprises multiclass data) of oil test data, then accounting is respectively 20/90,20/
70,20/30, i.e. 0.22:0.28:0.66, be the principle of 1 for meeting different stage factor weights sum, and conversion weights proportion is
0.22/ (0.22+0.28+0.66), 0.22/ (0.22+0.28+0.66), 0.22/ (0.22+0.28+0.66), i.e. 0.189:
0.241:0.568, retain main gene weights after two-decimal be respectively 0.19 (log data), 0.24 (well-log information),
0.57 (oil test data), it is clear that oil test data is maximum for proved reserves contribution margin, mostly important in three big main gene parameters,
The strongest with Exploration Potential dependency.Main (Pz), subfactor (Pc) weights can be calculated by said process, thus set up core amount
Change evaluation model.
3. photoelastic evaluation value
Owing to each well finishing drilling degree of depth is different, each series of strata total well number there are differences, and is evaluated taking with subfactor well number merely
Can there is error in value, such as, a series of strata A plane has 100 mouthfuls of wells, wherein bores and meets 10 mouthfuls of oil reservoir, and only 20 mouthfuls wells of another series of strata B,
Bore and meet 9 mouthfuls of oil reservoir, if value oil reservoir bores meets well head number evaluation, B district potentiality can be caused poor, substantially think from Efficient exploration
Set out in road, it is clear that or B district is better than A district, therefore present invention introduces same series of strata subfactor well head number and institute in reserves blank tape
There is prospect pit accounting (Pj) as evaluating value.Photoelastic evaluation valued space is big, longitudinally on can be large enough to sand group, little to substratum, flat
On face big to oil reservoir accumulation unit, little to wellblock all can based on unit its reserves blank tape comprised is done quantitative assessment work
Make.
Pj is to select the individual well difference series of strata expectation the highest subfactor of rank fixed at the different enterprising rowers of series of strata plane graph, determines
Different series of strata respectively demarcate the well head number that subfactor comprises, and obtain divided by this series of strata reserves clear area total well number.Reserves blank tape
If interior individual well difference series of strata well section exists the multinomial primary and secondary factor, choose the best expectation rank factor and demarcate as its mark.
4. overall merit
By evaluation object value and subfactor weights product addition under different main genes, ask for each main gene value added after, then
Weights respective with it carry out product addition computing, and operation result is reserves blank tape Exploration Potential value.
First Pj under difference main gene is carried out product addition with subfactor weights (Pc) and calculates Pd,
Pd=Pj (1) * Pc (1)+... Pj (n) * Pc (n),
Then main gene weights (Pc) corresponding to each value added (Pd) are carried out product addition and draw final overall merit
Value Po,
Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n))
Po is each series of strata reserves blank tape Exploration Potential value, and it is blank that obtained Po can the most directly quantify reserves
Band Exploration Potential.
Said process can calculate the reserves blank tape Exploration Potential value of each series of strata, and in Practical Project, often needs
The reserves blank tape Exploration Potential of each oil reservoir body is evaluated, to this end, the present invention is the most on the basis of the above, by each series of strata
Divide according to oil reservoir assembly, according to the reserves blank tape exploration of each series of strata in the range of calculating oil reservoir assembly in step 1-4
Potential value, is overlapped the reserves blank tape Exploration Potential value of each series of strata in the range of this, and stack result is corresponding oil reservoir
The reserves blank tape Exploration Potential value of assembly.
A kind of embodiment of the Quantitative Evaluation System carrying out reserves blank tape Exploration Potential of the present invention
This evaluation system includes that parameter model structure module, kernel model are set up module, photoelastic evaluation value module and combine
Closing evaluation module, parameter model builds module and is used for the main gene with pit shaft formation testing, well logging and log data as quantitative assessment, from
Each main gene is chosen N item subfactor parameter, is constituted the parameter model of quantitative assessment with this；Kernel model set up module for
According to parameter model, add up and the prospect pit that each main gene is corresponding has been submitted proved reserves well head number, calculate the power of each main gene
Value Pz and the weights Pc of each subfactor, photoelastic evaluation value module is for according to the individual well series of strata criteria for classifying, by same series of strata time
Factor well head number and all prospect pit accountings Pj in reserves blank tape are as evaluation object value；Overall merit module will be for evaluating
Object value and subfactor weights product addition under different main genes, ask for each main gene value added after, then weights respective with it enter
Row product addition computing, operation result is each series of strata reserves blank tape Exploration Potential value.The specific implementation of each model
It is described in detail in the embodiment of method, has repeated no more here.
Pit shaft data with Biyang Sag district implements means for application example to the present invention and illustrates below.
1. set up parameter model
Main gene with pit shaft formation testing, well logging and log data as quantitative assessment, choose from each main gene N item time because of
Subparameter, adding up whole study area has oil test data well number and different conclusion corresponding well number, well-log information well number and difference thereof
Conclusion corresponding well number, well-log information well number and different conclusion corresponding well number thereof carry out classified finishing, set up base data table, such as table
Shown in 1.According to the subfactor under each main gene of the contents selection in table 1.
Table 1
2. set up evaluation model
1) main gene weights computing
According to parameter model, adding up and submitted proved reserves well head number in the prospect pit that each main gene is corresponding, calculating is carried out
Proved reserves contribution margin and weights (Pz) are asked for, and concrete operation is as follows, and operation result is as shown in table 2.
Gz1=St1/S1=296/390=0.75897435
Gz2=St2/S2=361/537=0.67225325
Gz3=St3/S3=346/714=0.48459383
Pz1=Gz1/ (Gz1+Gz2+Gz3)=0.75897435/ (0.75898435+0.67225325+0.48459383)
=0.4
Pz2=Gz2/ (Gz1+Gz2+Gz3)=0.67225325/ (0.75898435+0.67225325+0.48459383)
=0.35
Pz3=Gz3/ (Gz1+Gz2+Gz3)=0.48459383/ (0.75898435+0.67225325+0.48459383)
=0.25
Table 2
Note: Pz1, Pz2, Pz3 three's sum is necessary for 1
2) subfactor weights computing
It is identical that subfactor weights computing mid-early stage contribution margin asks for principle, and later stage weight computing is slightly different, and adds up each
The prospect pit that main gene is corresponding is submitted proved reserves well head number, has calculated and carry out proved reserves contribution margin and weights (Pj), specifically
Computing is as follows, and operation result is as shown in table 3.
Gc1=St1/S1=296/390=0.707273
Gc2=St2/S2=361/537=0.540541
……
Gc11=St3/S3=346/714=0.169903
Gc12=St3/S3=346/714=0.059406
Pc1=Gc1/ (Gc1+Gc2+Gc3+Gc4)=0.4
Pc2=Gc2/ (Gc1+Gc2+Gc3+Gc4)=0.3
Pc3=Gc3/ (Gc1+Gc2+Gc3+Gc4)=0.2
Pc4=Gc4/ (Gc1+Gc2+Gc3+Gc4)=0.1
Pc5=Gc5/ (Gc5+Gc6+Gc7+Gc8)=0.4
Pc6=Gc6/ (Gc5+Gc6+Gc7+Gc8)=0.25
Pc7=Gc7/ (Gc5+Gc6+Gc7+Gc8)=0.2
Pc8=Gc8/ (Gc5+Gc6+Gc7+Gc8)=0.15
Pc9=Gc9/ (Gz9+Gz10+Gz11+Gz12)=0.5
Pc10=Gc10/ (Gz9+Gz10+Gz11+Gz12)=0.3
Pc11=Gc11/ (Gz9+Gz10+Gz11+Gz12)=0.15
Pc12=Gc12/ (Gz9+Gz10+Gz11+Gz12)=0.05
Table 3
Note: under different main genes, subfactor weights Pc sum is necessary for 1
3) weights modeling
Laterally introduce main gene weights and subfactor weights, longitudinally introduce evaluation object, just constitute the exploration of reserves blank tape
Potentiality Evaluating Model, as shown in table 4.
Table 4
3, evaluation object value
According to the individual well series of strata criteria for classifying, select the individual well difference series of strata expectation the highest subfactor of rank in different series of strata planes
Scheme enterprising rower fixed (as shown in Fig. 2～Fig. 9), implement different series of strata and respectively demarcate the well head number (as shown in table 5) that subfactor comprises,
Carrying out accounting computing divided by this series of strata reserves clear area total well number asks for Pj (as shown in table 6) simultaneously.
Table 5
Table 6
4, overall merit
As evaluation object, its value Pj is imported in evaluation model using different series of strata, carry out product addition and calculate difference master
Pd under the factor (Pd=Pc (1) * Pq (1)+... Pc (n) * Pq (n)), different Pd values carry out product addition with weights (Pz) and draw
Final comprehensive evaluation value (Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n)), it completes the evaluation of different series of strata, combining assessment
Value is preferably queued up, and evaluation result is as shown in table 7.
With h3 1As a example by interval
Well logging Pd1=0.23697*0.4+0.0425654*0.3+0.056872*0.2+0.035545*0.1=
0.037204
Well logging Pd2=0.00237*0.4+0.021327*0.25+0.007109*0.2+0.00237*0.15=
0.008057
Formation testing Pd3=0.009479*0.5+0.009479*0.3+0.007109*0.15+0.00237*0.05=
0.008768
Po=0.037204*0.25+0.008057*0.35+0.008768*0.4=0.15628
Table 7
After completing each series of strata Potential Evaluation, each series of strata are divided into 7 regions according to oil reservoir assembly, are double respectively
River, Zhao are recessed, peace canopy oil reservoir assembly, ancient city oil reservoir assembly, well building oil reservoir assembly, pay gulf oil reservoir assembly, Wang Ji-new village
Oil reservoir assembly, lower two oil reservoir assemblys, great Wu village oil reservoir assembly, according to Potential Evaluation model and method, complete each
Series of strata difference oil reservoir assembly reserves clear area Potential Evaluation, result as shown in Figure 10, the potential value result of calculation of each assembly
As shown in table 8.
Table 8
Understanding the present invention by examples detailed above can quantitatively evaluating difference series of strata, different oil reservoir assembly reserves blank tape
Exploration Potential so that exploration decision person can shoot the arrow at the target, and efficiently excavates remaining resource potential, sufficiently lower difficulties in exploration,
Overall technical architecture is rational in infrastructure, workable, it is possible to provide science and technology to support for the development of Domestic Oil And Gas Fields Development Strategy.
Claims (10)
1. the method for quantitatively evaluating carrying out reserves blank tape Exploration Potential, it is characterised in that the step of this method for quantitatively evaluating
Rapid as follows:
1) main gene with pit shaft formation testing, well logging and log data as quantitative assessment, chooses n item subfactor from each main gene
Parameter, is constituted the parameter model of quantitative assessment with this；
2) according to parameter model, add up and the prospect pit that each primary and secondary level factor pair is answered has been submitted proved reserves well head number, calculate each
The weights Pz of main gene and the weights Pc of each subfactor；
3) according to the individual well series of strata criteria for classifying, by same series of strata subfactor well head number and all prospect pit accountings Pj in reserves blank tape
As evaluation object value；
4) by evaluation object value and subfactor weights product addition under different main genes, ask for each main gene value added after, then with
Its each weights carry out product addition computing, operation result is the reserves blank tape Exploration Potential value of each series of strata.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that will be each
Individual series of strata divide according to oil reservoir assembly, according to step 1)-4) in calculate the reserves of each series of strata in the range of oil reservoir assembly empty
Leucorrhea Exploration Potential value, is overlapped the reserves blank tape Exploration Potential value of each series of strata in the range of this, and stack result is
The reserves blank tape Exploration Potential value of corresponding oil reservoir assembly.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that each
Series of strata reserves blank tape Exploration Potential value Po is:
Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n)
Pd=Pc (1) * Pj (1)+... Pc (n) * Pj (n)
Wherein n is the item number of subfactor parameter.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that each
The subfactor parameter chosen in main gene is 4, and the subfactor of oil test data is respectively oil reservoir (C1), low yield oil reservoir (C2), oil
Water same layer (C3) and oil-containing water layer (C4)；The subfactor of well-log information is respectively oil reservoir (C5), difference oil reservoir (C6), oil-water common-layer (C7)
With oil-containing water layer (C8)；The subfactor of log data is respectively oil immersion (C9), oil mark (C10), oil stain (C11) and fluorescence (C12)。
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that main cause
Son each weights sum is 1, and N item subfactor weights sum corresponding under each main gene is also 1.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that step
2) in, the calculating process of sovereignty factor weights Pz is as follows:
A. add up and the prospect pit that each main gene is corresponding has been submitted proved reserves well head number St；
B. storage is verified according to what prospect pit corresponding to each main gene submitted proved reserves well head number St calculates corresponding main gene
Amount contribution degree Gz, Gz=St/S, S are well number；
C. each main gene proved reserves contribution degree obtained being normalized, normalization result is corresponding main gene
Weights Pz.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 1, it is characterised in that step
3) in, Pj is to select the individual well difference series of strata expectation the highest subfactor of rank fixed at the different enterprising rowers of series of strata plane graph, determines difference
Series of strata respectively demarcate the well head number that subfactor comprises, and obtain divided by this series of strata reserves clear area total well number.
The method for quantitatively evaluating carrying out reserves blank tape Exploration Potential the most according to claim 7, it is characterised in that reserves
If individual well difference series of strata well section exists the multinomial primary and secondary factor in blank tape, choose the best expectation rank factor and enter as its mark
Rower is fixed.
9. the Quantitative Evaluation System carrying out reserves blank tape Exploration Potential, it is characterised in that this evaluation system includes parameter
Model construction module, kernel model set up module, photoelastic evaluation value module and overall merit module,
Described parameter model builds module and is used for the main gene with pit shaft formation testing, well logging and log data as quantitative assessment, from often
Item main gene chooses N item subfactor parameter, is constituted the parameter model of quantitative assessment with this；
Described kernel model sets up module for according to parameter model, adding up to have submitted in the prospect pit that each main gene is corresponding and verify
Reserves well head number, calculates the weights Pz of each main gene and the weights Pc of each subfactor,
Described photoelastic evaluation value module is for according to the individual well series of strata criteria for classifying, by same series of strata subfactor well head number and reserves
In blank tape, all prospect pit accountings Pj are as evaluation object value；
Described overall merit module, for by evaluation object value and subfactor weights product addition under different main genes, is asked for each
After main gene is value added, then weights respective with it carry out product addition computing, and operation result is each series of strata reserves blank tape and surveys
Visit potential value.
The Quantitative Evaluation System carrying out reserves blank tape Exploration Potential the most according to claim 9, it is characterised in that storage
Amount blank tape Exploration Potential value Po is:
Po=Pd (1) * Pz (1)+... Pd (n) * Pz (n)
Pd=Pc (1) * Pj (1)+... Pc (n) * Pj (n)
Wherein n is the item number of subfactor parameter.
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