CN110782100A - Low-permeability gas reservoir productivity rapid prediction method - Google Patents

Low-permeability gas reservoir productivity rapid prediction method Download PDF

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CN110782100A
CN110782100A CN201911147970.3A CN201911147970A CN110782100A CN 110782100 A CN110782100 A CN 110782100A CN 201911147970 A CN201911147970 A CN 201911147970A CN 110782100 A CN110782100 A CN 110782100A
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fitting relation
aof
fitting
permeability
productivity
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CN110782100B (en
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黄全华
李健
郭平
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Southwest Petroleum University
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Abstract

The invention discloses a method for quickly predicting the productivity of a low-permeability gas reservoir, which comprises the steps of obtaining relevant parameters of a finished productivity test production zone, and analyzing to obtain a relevant fitting relation graph and a relevant fitting relation formula; then combining the productivity prediction data of a plurality of similar low-permeability gas fields to obtain a comparison fitting relation graph and a comparison fitting relation formula; and finally deleting the abnormal points to obtain a standard fitting relation graph to obtain a standard fitting relation, and completing productivity prediction. The method for quickly predicting the low-permeability gas reservoir capacity, provided by the invention, is combined with similar capacity test data of a typical low-permeability gas field in China, a large number of statistical samples are regressed, a fitting relation is obtained, and the quick capacity prediction is completed. The method has high prediction applicability, high speed and high result accuracy, and can meet the requirements of field production.

Description

Low-permeability gas reservoir productivity rapid prediction method
Technical Field
The invention belongs to the technical field of oil and gas field productivity prediction, and particularly relates to a method for rapidly predicting the productivity of a low-permeability gas reservoir.
Background
The productivity prediction is an important component of oil and gas field development planning deployment, development scheme design, development scheme adjustment and development dynamic analysis. The production capacity test is mostly used for obtaining the unimpeded flow on site, but the method is long in time consumption and can cause test failure. When a gas field is purchased overseas, the productivity is often required to be rapidly predicted, so that risk assessment is performed, the productivity test cannot meet the requirement, and the error of the traditional fitting method is large. Therefore, the invention provides a new regional statistical method for predicting the productivity, and the empirical formula is fitted by combining the data of the productive layer which is subjected to the productivity test and the data of a plurality of similar gas fields to rapidly and accurately predict the productive layer which is not subjected to the productivity test.
Disclosure of Invention
The invention aims to solve the problem of oil and gas field productivity prediction and provides a low-permeability gas reservoir productivity rapid prediction method.
The technical scheme of the invention is as follows: a method for rapidly predicting the capacity of a low-permeability gas reservoir comprises the following steps:
s1: obtaining relevant parameters of the finished productivity test production zone of the low permeability gas field, including the unimpeded flow Q AOFEffective thickness h and permeability K;
s2: unimpeded flow Q for testing production zones according to completed productivity AOFAnd the effective thickness h is used for calculating the unimpeded flow q of the unit thickness AOF
S3: unimpeded flow rate q per unit thickness AOFFitting with the permeability K to obtain a relevant fitting relation graph and a relevant fitting relation;
s4: obtaining relevant parameters of the producing zones of the similar low-permeability gas fields which have finished the productivity test according to the relevant fitting relation graphs and the relevant fitting relation formulas, and obtaining comparison fitting relation graphs and comparison fitting relation formulas according to the relevant parameters;
s5: comparing the correlation fitting relation graph with the comparison fitting relation graph, and comparing the correlation fitting relation with the comparison fitting relation to obtain abnormal points;
s6: deleting abnormal points to obtain a standard fitting relation graph;
s7: obtaining a standard fitting relational expression according to the standard fitting relational diagram;
s8: and calculating the low-permeability gas reservoir capacity according to the standard fitting relational expression to complete capacity prediction.
The invention has the beneficial effects that: the method for quickly predicting the low-permeability gas reservoir capacity, provided by the invention, is combined with similar capacity test data of a typical low-permeability gas field in China, a large number of statistical samples are regressed, a fitting relation is obtained, and the quick capacity prediction is completed. The method has high prediction applicability, high speed and high result accuracy, and can meet the requirements of field production.
Further, in step S2, the unobstructed flow rate q per unit thickness AOFIs calculated as q AOF=Q AOF/h。
The beneficial effects of the further scheme are as follows: in the present invention, the unimpeded flow Q is utilized AOFCalculating the effective thickness h to obtain the unimpeded flow q of unit thickness AOFFitting with the permeability K is facilitated, and the calculation formula is simple and facilitates field calculation.
Further, step S3 includes the following sub-steps:
s31: establishing a rectangular coordinate system on origin mathematical software;
s32: on a rectangular coordinate system, depicting a horizontal coordinate by permeability K;
s33: on the abscissa, the unobstructed flow rate q in unit thickness AOFDepicting a vertical coordinate to complete a related fitting relation graph;
s34: and obtaining a relevant fitting relational expression according to the relevant fitting relational graph.
The beneficial effects of the further scheme are as follows: in the traditional method, a rectangular coordinate system is established by using the unimpeded flow and the bottom coefficient. In the invention, the fitting relation graph establishes a rectangular coordinate system according to the unobstructed flow and permeability of unit thickness, and compared with the traditional method, the method has the advantages of lower relative deviation rate and more accurate prediction result.
Further, step S4 includes the following sub-steps:
s41: obtaining relevant parameters of the finished productivity test production layers of the plurality of similar low-permeability gas fields according to the relevant fitting relation graphs and the relevant fitting relation formulas, wherein the relevant parameters comprise the unimpeded flow Q' AOFEffective thickness h 'and permeability K';
s42: according to the finished capacity test production layer no-resistance flow Q' AOFAnd calculating the clear flow rate q 'of unit thickness by the effective thickness h' AOF
S43: to unit thickness ofFlow resistance q' AOFFitting with the permeability K' to obtain a comparison fitting relation graph and a comparison fitting relation formula.
The beneficial effects of the further scheme are as follows: the calculation result is unreliable due to the fact that the number of statistical samples of the target low-permeability gas field is small. A large number of statistical samples are regressed by combining the productivity test data of a plurality of similar typical low-permeability gas fields, so that the prediction result is more accurate and reliable.
Further, in step S42, the no-flow rate q 'per unit thickness' AOFIs q' AOF=Q' AOF/h'。
The beneficial effects of the further scheme are as follows: in the present invention, the no-flow rate Q 'is used' AOFAnd calculating the effective thickness h ' to obtain the unimpeded flow q ' of the unit thickness ' AOFFitting with the permeability K is facilitated, and the calculation formula is simple and facilitates field calculation.
Further, step S43 includes the following sub-steps:
s431: establishing a rectangular coordinate system on origin mathematical software;
s432: on a rectangular coordinate system, depicting a horizontal coordinate by the permeability K';
s433: on the abscissa, the unobstructed flow rate q 'in unit thickness' AOFDepicting a vertical coordinate to finish a comparison fitting relation graph;
s434: and obtaining a comparison fitting relation according to the comparison fitting relation.
The beneficial effects of the further scheme are as follows: in the traditional method, a rectangular coordinate system is established by using the unimpeded flow and the bottom coefficient. In the invention, the fitting relation graph establishes a rectangular coordinate system according to the unobstructed flow and permeability of unit thickness, and compared with the traditional method, the method has the advantages of lower relative deviation rate and more accurate prediction result.
Further, the abnormal points include a point at which the test fails and a point at which the test does not reach a stable.
The beneficial effects of the further scheme are as follows: in the invention, the abnormal point is caused by a problem in the test process, the real condition of the production layer cannot be reflected, and the condition of the production layer can be reflected more truly by deleting the abnormal point.
Further, the correlation fitting relation in step S3, the comparison fitting relation in step S4, and the standard fitting relation in step S7 are all linear relations.
The beneficial effects of the further scheme are as follows: in the invention, the linear relation can clearly reflect the situation of the production layer, is convenient for calculating the productivity and finishes the productivity prediction.
Drawings
FIG. 1 is a diagram of steps of a method for rapid prediction of capacity for low permeability gas reservoirs;
FIG. 2 is a diagram of the substeps of step S3;
FIG. 3 is a diagram of the substeps of step S4;
FIG. 4 is a diagram of the substeps of step S43;
FIG. 5 is a graph of the correlation fit for the NB17-1 gas field harbor group;
FIG. 6 is a graph of a standard fit for the NB17-1 gas field harbor group;
FIG. 7 is a graph of a fitting relationship of a conventional method for NB17-1 gas field hong Kong group.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a method for rapidly predicting the productivity of a low permeability gas reservoir, comprising the following steps:
s1: obtaining relevant parameters of the finished productivity test production zone of the low permeability gas field, including the unimpeded flow Q AOFEffective thickness h and permeability K;
s2: unimpeded flow Q for testing production zones according to completed productivity AOFAnd the effective thickness h is used for calculating the unimpeded flow q of the unit thickness AOF
S3: unimpeded flow rate q per unit thickness AOFFitting with the permeability K to obtain a relevant fitting relation graph and a relevant fitting relation;
s4: obtaining relevant parameters of the producing zones of the similar low-permeability gas fields which have finished the productivity test according to the relevant fitting relation graphs and the relevant fitting relation formulas, and obtaining comparison fitting relation graphs and comparison fitting relation formulas according to the relevant parameters;
s5: comparing the correlation fitting relation graph with the comparison fitting relation graph, and comparing the correlation fitting relation with the comparison fitting relation to obtain abnormal points;
s6: deleting abnormal points to obtain a standard fitting relation graph;
s7: obtaining a standard fitting relational expression according to the standard fitting relational diagram;
s8: and calculating the low-permeability gas reservoir capacity according to the standard fitting relational expression to complete capacity prediction.
In the embodiment of the present invention, as shown in fig. 1, in step S2, the unobstructed flow rate q per unit thickness AOFIs calculated as q AOF=Q AOFH; in the present invention, the unimpeded flow Q is utilized AOFCalculating the effective thickness h to obtain the unimpeded flow q of unit thickness AOFFitting with the permeability K is facilitated, and the calculation formula is simple and facilitates field calculation.
In the embodiment of the present invention, as shown in fig. 2, step S3 includes the following sub-steps:
s31: establishing a rectangular coordinate system on origin mathematical software;
s32: on a rectangular coordinate system, depicting a horizontal coordinate by permeability K;
s33: on the abscissa, the unobstructed flow rate q in unit thickness AOFDepicting a vertical coordinate to complete a related fitting relation graph;
s34: and obtaining a relevant fitting relational expression according to the relevant fitting relational graph.
In the traditional method, a rectangular coordinate system is established by using the unimpeded flow and the bottom coefficient. In the invention, the fitting relation graph establishes a rectangular coordinate system according to the unobstructed flow and permeability of unit thickness, and compared with the traditional method, the method has the advantages of lower relative deviation rate and more accurate prediction result.
In the embodiment of the present invention, as shown in fig. 3, step S4 includes the following sub-steps:
s41: obtaining relevant parameters of the finished productivity test production layers of the plurality of similar low-permeability gas fields according to the relevant fitting relation graphs and the relevant fitting relation formulas, wherein the relevant parameters comprise the unimpeded flow Q' AOFEffective thickness h 'and permeability K';
s42: according to the finished capacity test production layer no-resistance flow Q' AOFAnd calculating the clear flow rate q 'of unit thickness by the effective thickness h' AOF
S43: no flow q 'per unit thickness' AOFFitting with the permeability K' to obtain a comparison fitting relation graph and a comparison fitting relation formula.
In the invention, the calculation result is unreliable due to less statistical samples of the target low-permeability gas field. A large number of statistical samples are regressed by combining the productivity test data of a plurality of similar typical low-permeability gas fields, so that the prediction result is more accurate and reliable.
In the embodiment of the invention, as shown in FIG. 3, in step S42, the unobstructed flow rate q 'per unit thickness' AOFIs q' AOF=Q' AOF/h'。
In the present invention, the no-flow rate Q 'is used' AOFAnd calculating the effective thickness h ' to obtain the unimpeded flow q ' of the unit thickness ' AOFFitting with the permeability K is facilitated, and the calculation formula is simple and facilitates field calculation.
In the embodiment of the present invention, as shown in fig. 4, step S43 includes the following sub-steps:
s431: establishing a rectangular coordinate system on origin mathematical software;
s432: on a rectangular coordinate system, depicting a horizontal coordinate by the permeability K';
s433: on the abscissa, the unobstructed flow rate q 'in unit thickness' AOFDepicting a vertical coordinate to finish a comparison fitting relation graph;
s434: and obtaining a comparison fitting relation according to the comparison fitting relation.
In the traditional method, a rectangular coordinate system is established by using the unimpeded flow and the bottom coefficient. In the invention, the fitting relation graph establishes a rectangular coordinate system according to the unobstructed flow and permeability of unit thickness, and compared with the traditional method, the method has the advantages of lower relative deviation rate and more accurate prediction result.
In the embodiment of the present invention, as shown in fig. 1, the abnormal points include a point at which the test fails and a point at which the test does not reach a stable state. In the invention, the abnormal point is caused by a problem in the test process, the real condition of the production layer cannot be reflected, and the condition of the production layer can be reflected more truly by deleting the abnormal point.
In the embodiment of the present invention, as shown in fig. 1, the correlation fitting relation in step S3, the comparison fitting relation in step S4, and the standard fitting relation in step S7 are all linear relations. In the invention, the linear relation can clearly reflect the situation of the production layer, is convenient for calculating the productivity and finishes the productivity prediction.
The working principle and the process of the invention are as follows: aiming at the prediction of the low-permeability gas reservoir production capacity, the production capacity prediction method firstly obtains relevant parameters of a finished production capacity test production zone, including a non-resistance flow Q AOFEffective thickness h and permeability K, which are basic parameters for gas field data acquisition, and calculating to obtain the unimpeded flow q of unit thickness AOFObtaining a relevant fitting relation graph and a relevant fitting relation by combining the permeability; then combining the productivity prediction data of a plurality of similar low-permeability gas fields to obtain a comparison fitting relation graph and a comparison fitting relation formula; and finally deleting the abnormal points to obtain a standard fitting relation graph to obtain a standard fitting relation, and completing productivity prediction.
The classification method of the present invention will be described in detail below by taking NB17-1 as an example of the Honda hong Kong group.
Only H3b and H4b of the three main gas layers of the NB17-1 gas field and flower harbor group successfully perform the productivity test, and the H3c layer fails to explain the productivity of the H3c layer by using the existing data because the test time is short and the pressure and the yield do not reach the stable state. Therefore, the rapid capacity prediction method estimates and predicts the capacity of the untested main power layer H3c, and calculates the tested layers H3b and H4b to compare and analyze the results with the capacity test results. And finally, estimating by using a traditional fitting relation to compare results and analyze errors.
Firstly, obtaining relevant parameters of a finished productivity test production zone of a low permeability gas field, including a non-resistance flow Q AOFEffective thickness h and permeability K; calculating the unimpeded flow q per unit thickness AOF(ii) a Unimpeded flow rate q per unit thickness AOFFitting with permeability K to obtain a related fitting relation chart, as shown in FIG. 5, and obtaining a related fitting relation through the related fitting relation chart, wherein the related fitting relation is
Figure BDA0002282748550000081
Since the data of the target block has fewer statistical samples, which results in unreliable calculation results, the regression statistical formula is not suitable for direct capacity prediction. Therefore, capacity test data of a plurality of similar typical low-permeability gas fields in China, such as a YC gas field, an YL gas field, an SGL gas field and a DND gas field, are combined, and the same method is adopted to regress the unit thickness unimpeded flow q with larger sample volume AOFWith permeability K and an unobstructed flow q per unit thickness AOFFitting with the permeability K to obtain a comparison fitting relation of
Figure BDA0002282748550000082
Then, comparing the correlation fitting relation graph with the comparison fitting relation graph, comparing the correlation fitting relation with the comparison fitting relation, and deleting abnormal points; finally, regressions are carried out again, the comparison fitting relation graph and the standard fitting relation graph are combined, as shown in figure 6, and a standard fitting relation q is obtained AOF=0.8219×K×h+0.1592×h。
The productivity predictions for the H3b layer, the H3c layer, and the H4b layer were performed according to the standard fit relationship, and the results are shown in table 1 below:
TABLE 1
As can be seen from the above table, the productivity predicted by the method for H3b layer, H3c layer and H4b layer is 183.696 × 10 4m 3/d、36.328×10 4m 3/d、186.883×10 4m 3And d. Since only the H3b layer and the H4b layer are subjected to the capacity test, the relative deviation of the predicted result of the method and the result of the capacity test is less than 6 percent, namely the predicted result is compared with the result of the capacity testThe result predicted by the method is reliable.
The traditional method is to pass through the unimpeded flow rate q of unit thickness AOFAnd (4) obtaining a fitting relation with the formation coefficient Kh to predict the productivity, and fitting and predicting the productivity by using a traditional method.
The fitting relation obtained by the traditional method is shown in FIG. 7, and a fitting relation q can be obtained from the fitting relation AOF0.7115 × Kh + 1.2203. The productivity predictions for the H3b layer, the H3c layer, and the H4b layer were performed according to the standard fit relationship, and the results are shown in table 2 below:
TABLE 2
Figure BDA0002282748550000091
Through the analysis in Table 2, it can be found that the unimpeded flow q is fit AOFThe relative deviation from the formation coefficient kh to predict the unimpeded flow is greater than 14%. The rapid capacity prediction method of the invention fits the unit thickness unimpeded flow q AOFThe relative deviation from the permeability K predicted non-resistance flow is less than 6%, which indicates that the new method is more accurate.
The invention has the beneficial effects that: the method for quickly predicting the low-permeability gas reservoir capacity, provided by the invention, is combined with similar capacity test data of a typical low-permeability gas field in China, a large number of statistical samples are regressed, a fitting relation is obtained, and the quick capacity prediction is completed. The method has high prediction applicability, high speed and high result accuracy, and can meet the requirements of field production.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.

Claims (8)

1. A method for rapidly predicting the productivity of a low-permeability gas reservoir is characterized by comprising the following steps:
s1: obtaining relevant parameters of the finished productivity test production zone of the low permeability gas field, including the unimpeded flow Q AOFEffective thickness h and permeability K;
s2: unimpeded flow Q for testing production zones according to completed productivity AOFAnd the effective thickness h is used for calculating the unimpeded flow q of the unit thickness AOF
S3: unimpeded flow rate q per unit thickness AOFFitting with the permeability K to obtain a relevant fitting relation graph and a relevant fitting relation;
s4: obtaining relevant parameters of the producing zones of the similar low-permeability gas fields which have finished the productivity test according to the relevant fitting relation graphs and the relevant fitting relation formulas, and obtaining comparison fitting relation graphs and comparison fitting relation formulas according to the relevant parameters;
s5: comparing the correlation fitting relation graph with the comparison fitting relation graph, and comparing the correlation fitting relation with the comparison fitting relation to obtain abnormal points;
s6: deleting abnormal points to obtain a standard fitting relation graph;
s7: obtaining a standard fitting relational expression according to the standard fitting relational diagram;
s8: and calculating the low-permeability gas reservoir capacity according to the standard fitting relational expression to complete capacity prediction.
2. The method of claim 1, wherein in step S2, the unobstructed flow rate q per unit thickness is determined AOFIs calculated as q AOF=Q AOF/h。
3. The method for rapid prediction of low permeability gas reservoir productivity according to claim 1, wherein the step S3 comprises the following sub-steps:
s31: establishing a rectangular coordinate system on origin mathematical software;
s32: on a rectangular coordinate system, depicting a horizontal coordinate by permeability K;
s33: on the abscissa, the unobstructed flow rate q in unit thickness AOFDepictingThe ordinate is used for completing a relevant fitting relation graph;
s34: and obtaining a relevant fitting relational expression according to the relevant fitting relational graph.
4. The method for rapid prediction of low permeability gas reservoir productivity according to claim 1, wherein the step S4 comprises the following sub-steps:
s41: obtaining relevant parameters of the finished productivity test production layers of the plurality of similar low-permeability gas fields according to the relevant fitting relation graphs and the relevant fitting relation formulas, wherein the relevant parameters comprise the unimpeded flow Q' AOFEffective thickness h 'and permeability K';
s42: according to the finished capacity test production layer no-resistance flow Q' AOFAnd calculating the clear flow rate q 'of unit thickness by the effective thickness h' AOF
S43: no flow q 'per unit thickness' AOFFitting with the permeability K' to obtain a comparison fitting relation graph and a comparison fitting relation formula.
5. The method for rapidly predicting low permeability gas reservoir capacity according to claim 4, wherein in the step S42, the open flow rate q 'per unit thickness' AOFIs q' AOF=Q' AOF/h'。
6. The method for rapid prediction of low permeability gas reservoir productivity according to claim 4, wherein the step S43 comprises the following sub-steps:
s431: establishing a rectangular coordinate system on origin mathematical software;
s432: on a rectangular coordinate system, depicting a horizontal coordinate by the permeability K';
s433: on the abscissa, the unobstructed flow rate q 'in unit thickness' AOFDepicting a vertical coordinate to finish a comparison fitting relation graph;
s434: and obtaining a comparison fitting relation according to the comparison fitting relation.
7. The method of claim 1, wherein the abnormal points in step S5 include a point where the test fails and a point where the test does not reach a stable point.
8. The method of claim 1, wherein the correlation fit relation in the step S3, the comparison fit relation in the step S4, and the standard fit relation in the step S7 are all linear relations.
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