CN112228052A

CN112228052A - Shale and tight rock oil-gas productivity prediction method, evaluation method and system

Info

Publication number: CN112228052A
Application number: CN202011193662.7A
Authority: CN
Inventors: 朱光有; 王萌; 陈志勇; 李婷婷; 陈玮岩
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-10-30
Filing date: 2020-10-30
Publication date: 2021-01-15
Anticipated expiration: 2040-10-30
Also published as: CN112228052B

Abstract

The invention provides a shale and compact rock oil-gas productivity prediction method, an evaluation method and an evaluation system. The prediction method comprises the following steps: constructing a productivity prediction model of geological and engineering parameters of shale and tight rock oil and gas productivity, wherein the geological and engineering parameters comprise the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter; and acquiring relevant data of the well to be predicted, and determining the oil gas productivity of the well to be predicted by using the productivity prediction model. The evaluation method comprises the following steps: constructing oil gas productivity quantitative evaluation parameters based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter, and establishing a corresponding relation between the oil gas productivity quantitative evaluation parameters and the oil gas productivity grade; acquiring relevant data of the well to be predicted, determining quantitative evaluation parameter values of oil gas productivity of the well to be predicted by combining quantitative evaluation parameters of the oil gas productivity, and further determining the oil gas productivity grade of the well to be predicted by combining the corresponding relation of the evaluation parameters and the oil gas productivity grade.

Description

Shale and tight rock oil-gas productivity prediction method, evaluation method and system

Technical Field

The invention belongs to the technical field of quantitative evaluation and prediction of oil-gas productivity, and particularly relates to a shale and tight rock oil-gas productivity prediction method, evaluation method and system.

Background

Shale oil gas resources are rich, and the shale oil gas resource is an important field for development and utilization of oil gas in the future. The American shale technical revolution not only breaks the profit model of the traditional oil and gas industry, but also changes the world energy pattern. Under the conditions of policy support and successful market development in China, the shale gas yield can reach 200 billion in about 2020, and the yield can strive to reach 800 plus 1000 billion in 2030, which accounts for more than 30% of the total yield in China. Shale oil can reach 500-. Shale oil gas is used as an unconventional resource with the characteristic of an artificial oil gas reservoir, and the productivity of the shale oil gas is influenced by factors in many aspects such as geology, engineering and the like, so that the shale oil gas has great significance for quantitative evaluation and prediction of the productivity of the shale oil gas and industrial and commercial development of the shale oil gas.

CN102509179A discloses a dynamic gas well productivity prediction method, which combines with related empirical formulas to provide a method for dynamically predicting the productivity of a gas well in the production process, and eliminates the influence caused by the change of formation pressure in the conventional productivity evaluation method, but does not consider the influence of other geological and engineering factors.

WO2008028122A3 discloses a method of oil and gas well production matching and production prediction that takes into account the effects of geology and reservoirs on production prediction, but not engineering considerations.

CN102830442A provides a potential coefficient evaluation method for predicting and forecasting coalbed methane productivity, a coalbed methane productivity potential coefficient evaluation model based on ANN and GIS is established, and a partitioning scheme for evaluating the coalbed methane productivity potential is provided, but the influence of engineering factors is not considered, the practical application is complex, and the method is not beneficial to rapid prediction and evaluation.

Although integration of geological engineering is a research concept known to researchers in the industry, it is impossible to determine which parameters are the main control factors due to the large number of geological and engineering parameters. At present, a shale oil and gas productivity prediction and evaluation method by combining geological and engineering factors is not reported.

Disclosure of Invention

The invention aims to provide a shale and compact rock oil-gas production capacity prediction method. The method can realize the quantitative prediction of the productivity of the shale and compact rock oil gas single well.

The invention aims to provide an oil-gas production evaluation method for shale and compact rock. The method can realize the productivity evaluation of shale and compact rock oil gas single well.

In order to achieve the purpose, the invention provides a shale and tight rock oil and gas productivity prediction method, wherein the method comprises the following steps:

constructing a productivity prediction model of geological and engineering parameters of shale and tight rock oil and gas productivity, wherein the geological and engineering parameters comprise the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

acquiring the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

and determining the oil and gas productivity of the well to be predicted by utilizing the productivity prediction model based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter.

In the method for predicting oil and gas productivity of shale and tight rock, preferably, the step of constructing a productivity prediction model of the oil and gas productivity of shale and tight rock about geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid consumption per meter comprises the following steps:

constructing quantitative evaluation parameters of oil and gas productivity based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

and determining the relation between the oil gas productivity quantitative evaluation parameter and the productivity so as to obtain a productivity prediction model.

In the method for predicting oil and gas productivity of shale and tight rock, preferably, the determining a relationship between quantitative evaluation parameters of oil and gas productivity and productivity so as to obtain a productivity prediction model comprises:

acquiring geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of each well of a developed block, and acquiring capacity data of each well of the developed block;

determining quantitative evaluation parameter values of the oil gas productivity of each well of the developed block by combining the constructed quantitative evaluation parameters of the oil gas productivity based on geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of each well of the developed block;

and fitting and determining the relation between the productivity data and the quantitative evaluation parameters of the productivity based on the productivity data of each well of the developed block and the quantitative evaluation parameter values of the oil gas productivity of each well of the developed block, thereby obtaining a productivity prediction model.

In the method for predicting oil and gas productivity of shale and tight rock, preferably, the quantitative productivity evaluation parameter is determined based on the product of a relative value of the length of a fracturing horizontal section, a relative value of a reservoir drilling proportion, a relative value of reservoir thickness, a relative value of the number of fracturing sections per meter, a relative value of sand adding amount per meter and a relative value of liquid consumption per meter; more preferably, the quantitative yield evaluation parameter is

In the formula, theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgFracturing of all statistical wells for developed blocksAverage horizontal segment length; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

In the method for predicting oil and gas productivity of shale and tight rock, preferably, the productivity is first-year daily production.

In the shale and tight rock oil and gas production capacity prediction method, preferably, the well to be predicted comprises one or a combination of more than two of a shale oil well, a shale gas well, a shale oil and gas co-production well and a tight gas well.

In the method for predicting oil and gas productivity of shale and tight rock, preferably, the well to be predicted comprises one or a combination of more than two of a vertical well, a horizontal well and a highly deviated well.

In the method for predicting oil and gas production capacity of shale and tight rock, preferably, the well to be predicted comprises wells in a block to be predicted, and the method further comprises: determining the oil and gas productivity of the block to be predicted based on the oil and gas productivity of each well in the block to be predicted; specifically, the shale and tight rock oil and gas productivity prediction method comprises the following steps:

acquiring the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter of each well in a block to be predicted;

determining the oil gas capacity of each well in the block to be predicted by using the capacity prediction model based on the length of the fracturing horizontal segment of each well in the block to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

and determining the oil and gas productivity of the block to be predicted based on the oil and gas productivity of each well in the block to be predicted.

The invention also provides a shale and compact rock oil-gas productivity evaluation method, wherein the method comprises the following steps:

establishing a corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level;

determining quantitative oil and gas productivity evaluation parameter values of the well to be predicted by combining the quantitative oil and gas productivity evaluation parameters based on the length of a fracturing horizontal segment of the well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

and determining the oil-gas productivity grade of the well to be predicted based on the oil-gas productivity quantitative evaluation parameter value of the well to be predicted and by combining the corresponding relation between the oil-gas productivity quantitative evaluation parameter value and the oil-gas productivity grade.

In the method for evaluating oil and gas productivity of shale and tight rock, preferably, the establishing of the corresponding relationship between the quantitative evaluation parameter value of oil and gas productivity and the oil and gas productivity level comprises:

and determining the corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level based on the productivity data of each well in the developed block and the oil gas productivity quantitative evaluation parameter value of each well in the developed block.

In the shale and tight rock oil and gas productivity evaluation method, preferably, the productivity quantitative evaluation parameter is determined based on the product of a fracturing horizontal section length relative value, a reservoir drilling proportion relative value, a reservoir thickness relative value, a fracturing section number per meter relative value, a sand adding amount per meter relative value and a liquid consumption amount per meter relative value; more preferably, the quantitative yield evaluation parameter is

In the formula, theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgThe average value of the length of the fracture horizontal segment of all the statistical wells of the developed block is obtained; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

In the method for evaluating oil and gas productivity of shale and tight rock, preferably, the productivity is first-year daily production.

In the shale and compact rock oil-gas productivity evaluation method, preferably, in the corresponding relation between the quantitative evaluation parameter value of oil-gas productivity and the oil-gas productivity level,

the quantitative evaluation parameter value of the oil gas productivity corresponding to the first-year daily gas production equivalent of more than or equal to 10 ten thousand square/day, and the oil gas productivity level is I type;

the corresponding quantitative evaluation parameter value of the oil gas productivity when the first-year daily gas production equivalent is not less than 6 ten thousand square/day and less than 10 ten thousand square/day, and the oil gas productivity is class II;

and (3) quantitatively evaluating parameter values of the corresponding oil gas productivity when the first-year daily gas production equivalent is less than 6 ten thousand square/day, wherein the oil gas productivity is in class III.

In the shale and tight rock oil and gas productivity evaluation method, preferably, the well to be predicted comprises one or a combination of more than two of a shale oil well, a shale gas well, a shale oil and gas co-production well and a tight gas well.

In the shale and tight rock oil and gas productivity evaluation method, preferably, the well to be predicted comprises one or a combination of more than two of a vertical well, a horizontal well and a highly deviated well.

The invention provides a shale and tight rock oil and gas productivity prediction system, wherein the system comprises:

capacity prediction model construction unit: the method is used for constructing a yield prediction model of geological and engineering parameters of shale and compact rock oil-gas yield, wherein the geological and engineering parameters comprise the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

a unit for acquiring geological and engineering parameters of a well to be predicted: the method is used for obtaining the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

the oil and gas productivity determination unit of the well to be predicted comprises: and determining the oil and gas productivity of the well to be predicted by utilizing the productivity prediction model based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter.

In the shale and tight rock oil and gas productivity prediction system, preferably, the productivity prediction model building unit includes:

an evaluation parameter construction module: the method is used for constructing oil and gas productivity quantitative evaluation parameters based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

capacity prediction model determination module: the method is used for determining the relationship between the oil gas productivity quantitative evaluation parameter and the productivity so as to obtain a productivity prediction model.

In the shale and tight rock oil and gas productivity prediction system, preferably, the productivity prediction model determining module includes:

developed well data acquisition submodule: the method is used for obtaining geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid consumption per meter of each well of a developed block, and obtaining the productivity data of each well of the developed block;

developed well evaluation parameter value determination sub-module: the method is used for determining the quantitative evaluation parameter values of the oil gas productivity of each well of the developed block based on geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of the developed block in combination with the constructed quantitative evaluation parameters of the oil gas productivity;

and (3) determining a productivity prediction model submodule: the capacity prediction method is used for fitting and determining the relation between the capacity data and the quantitative evaluation parameters of the oil and gas capacity based on the capacity data of each well of the developed block and the quantitative evaluation parameter values of the oil and gas capacity of each well of the developed block, so that a capacity prediction model is obtained.

In the shale and compact rock oil-gas productivity prediction system, preferably, the productivity quantitative evaluation parameter is determined based on the product of a fracturing horizontal section length relative value, a reservoir drilling proportion relative value, a reservoir thickness relative value, a fracturing section number per meter relative value, a sand adding amount per meter relative value and a liquid consumption amount per meter relative value; more preferably, the quantitative yield evaluation parameter is

In the formula, theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgAverage fracture horizontal interval length for all statistical wells of developed block；β_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

In the shale and compact rock oil and gas productivity prediction system, preferably, the productivity is first-year daily yield.

In the shale and tight rock oil and gas productivity prediction system, preferably, the well to be predicted comprises one or a combination of more than two of a shale oil well, a shale gas well, a shale oil and gas co-production well and a tight gas well.

In the shale and tight rock oil and gas productivity prediction system, preferably, the well to be predicted comprises one or a combination of more than two of a vertical well, a horizontal well and a highly deviated well.

In the shale and tight rock oil and gas productivity prediction system, preferably, the well to be predicted includes each well in the block to be predicted, and the prediction system further includes:

the oil gas productivity determination unit of the block to be predicted: the method comprises the steps of determining the oil and gas productivity of a block to be predicted based on the oil and gas productivity of each well in the block to be predicted;

specifically, the shale and tight rock oil and gas productivity prediction system comprises:

a unit for acquiring geological and engineering parameters of a well to be predicted: the method is used for obtaining the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of each well in a block to be predicted;

the oil and gas productivity determination unit of the well to be predicted comprises: the oil and gas capacity prediction model is used for determining the oil and gas capacity of each well in the block to be predicted by utilizing the capacity prediction model based on the length of the fracturing horizontal section, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of each well in the block to be predicted;

the oil gas productivity determination unit of the block to be predicted: and the method is used for determining the oil and gas productivity of the block to be predicted based on the oil and gas productivity of each well in the block to be predicted.

The invention provides an oil-gas productivity evaluation system for shale and tight rock, wherein the system comprises:

an evaluation parameter construction unit: the method is used for constructing oil and gas productivity quantitative evaluation parameters based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

capacity level dividing unit: the method is used for establishing the corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level;

the well evaluation parameter value to be predicted determining unit: the method is used for determining the quantitative evaluation parameter value of the oil gas productivity of the well to be predicted based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter and in combination with the quantitative evaluation parameter of the oil gas productivity;

the oil and gas productivity grade determining unit of the well to be predicted comprises: the method is used for determining the oil and gas productivity grade of the well to be predicted based on the oil and gas productivity quantitative evaluation parameter value of the well to be predicted and by combining the corresponding relation between the oil and gas productivity quantitative evaluation parameter value and the oil and gas productivity grade.

In the shale and tight rock oil and gas productivity evaluation system, preferably, the productivity grading unit includes:

developed well data acquisition module: the method is used for obtaining geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid consumption per meter of each well of a developed block, and obtaining the productivity data of each well of the developed block;

developed well evaluation parameter value determination module: the method is used for determining the quantitative evaluation parameter values of the oil gas productivity of each well of the developed block based on geological and engineering parameters of the length of a fracturing horizontal section, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter of the developed block in combination with the constructed quantitative evaluation parameters of the oil gas productivity;

capacity level division module: and determining the corresponding relation between the oil and gas productivity quantitative evaluation parameter value and the oil and gas productivity level based on the productivity data of each well in the developed block and the oil and gas productivity quantitative evaluation parameter value of each well in the developed block.

In the shale and compact rock oil-gas productivity evaluation system, preferably, the productivity quantitative evaluation parameter is determined based on the product of a fracturing horizontal section length relative value, a reservoir drilling proportion relative value, a reservoir thickness relative value, a fracturing section number per meter relative value, a sand adding amount per meter relative value and a liquid consumption amount per meter relative value; more preferably, the quantitative yield evaluation parameter is

In the shale and compact rock oil and gas productivity evaluation system, preferably, the productivity is first-year daily yield.

In the shale and compact rock oil-gas productivity evaluation system, preferably, in the corresponding relationship between the quantitative evaluation parameter value of oil-gas productivity and the oil-gas productivity level,

In the shale and tight rock oil and gas productivity evaluation system, preferably, the well to be predicted comprises one or a combination of more than two of a shale oil well, a shale gas well, a shale oil and gas co-production well and a tight gas well.

In the shale and tight rock oil and gas productivity evaluation system, preferably, the well to be predicted comprises one or a combination of more than two of a vertical well, a horizontal well and a highly deviated well.

The invention also provides a shale and tight rock oil and gas productivity prediction device, which comprises a processor and a memory; wherein the content of the first and second substances,

a memory for storing a computer program;

and the processor is used for realizing the steps of the shale and compact rock oil and gas productivity prediction method when executing the program stored in the memory.

The invention also provides a shale and compact rock oil-gas productivity evaluation device, which comprises a processor and a memory; wherein the content of the first and second substances,

a memory for storing a computer program;

and the processor is used for realizing the steps of the shale and compact rock oil-gas production capacity evaluation method when executing the program stored in the memory.

The present invention also provides a computer readable storage medium having one or more programs stored thereon that are executable by one or more processors to perform the steps of the shale, tight rock oil and gas energy production prediction method described above.

The present invention also provides a computer readable storage medium storing one or more programs, which are executable by one or more processors, to implement the steps of the shale, tight rock oil and gas energy production evaluation method.

According to the technical scheme provided by the invention, the oil-gas production capacity of shale and tight rock is predicted and/or evaluated based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter. Compared with the prior art, the technical scheme provided by the invention has the following advantages:

1. compared with other methods in the field, geological and engineering factors influencing quantitative evaluation and prediction of shale oil and gas productivity are comprehensively considered.

2. The quantitative evaluation and prediction method provided by the invention has high goodness of fit with the actual situation.

3. The quantitative evaluation and prediction method provided by the invention is simple, is easy to master and popularize, and is beneficial to rapid quantitative evaluation and prediction.

Drawings

Fig. 1 is a schematic flow chart of a method for predicting oil and gas productivity of shale and tight rock according to an embodiment of the present invention.

Fig. 2 is a schematic flow chart of the shale and tight rock oil-gas production capacity evaluation method according to an embodiment of the present invention.

Fig. 3 is a fitting relationship diagram of quantitative evaluation parameters of first-year production and oil gas production capacity in embodiment 1 of the present invention.

FIG. 4 is a fitting relationship diagram of quantitative evaluation parameters of first-year production and oil gas productivity in comparative example 2 of the present invention.

FIG. 5 is a fitting relationship diagram of quantitative evaluation parameters of first-year daily output and oil gas productivity in comparative example 3 of the present invention.

Fig. 6 is a schematic structural diagram of a shale and tight rock oil and gas production capacity prediction system according to an embodiment of the present invention.

Fig. 7 is a schematic structural diagram of a shale and tight rock oil and gas production system according to an embodiment of the present invention.

Fig. 8 is a schematic structural diagram of a shale and tight rock oil and gas production capacity prediction apparatus according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in detail and completely with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.

Referring to fig. 1, in order to achieve the above object, the present invention provides a method for predicting oil and gas production capacity of shale and tight rock, wherein the method comprises:

step S1: constructing a productivity prediction model of geological and engineering parameters of shale and tight rock oil and gas productivity, wherein the geological and engineering parameters comprise the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

step S2: acquiring the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

step S3: and determining the oil and gas productivity of the well to be predicted by utilizing the productivity prediction model based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter.

Further, the method for constructing the shale and tight rock oil and gas productivity capacity prediction model about geology and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter comprises the following steps:

Further, determining the relationship between the oil and gas capacity quantitative evaluation parameter and the capacity so as to obtain the capacity prediction model comprises the following steps:

Further, the quantitative productivity evaluation parameter is determined based on the product of the relative value of the length of the fracturing horizontal section, the relative value of the drilling proportion of the reservoir, the relative value of the thickness of the reservoir, the relative value of the number of fracturing sections per meter, the relative value of the sand adding amount per meter and the relative value of the liquid consumption per meter;

in one embodiment, the quantitative yield evaluation parameter is

In the formula (I), the compound is shown in the specification,theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgThe average value of the length of the fracture horizontal segment of all the statistical wells of the developed block is obtained; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

Further, the capacity is the first year daily yield.

Further, the well to be predicted comprises one or more than two of shale oil wells, shale gas wells, shale oil and gas co-production wells and tight gas wells.

Further, the well to be predicted comprises one or more than two of a vertical well, a horizontal well and a highly deviated well.

Further, the well to be predicted comprises each well in the block to be predicted, and the method further comprises the following steps: determining the oil and gas productivity of the block to be predicted based on the oil and gas productivity of each well in the block to be predicted;

specifically, the shale and tight rock oil and gas productivity prediction method comprises the following steps:

Referring to fig. 2, in order to achieve the above object, the present invention provides a shale and tight rock oil and gas productivity evaluation method, wherein the method comprises:

step S21: constructing quantitative evaluation parameters of oil and gas productivity based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

step S22: establishing a corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level;

step S23: acquiring the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

step S24: determining quantitative oil and gas productivity evaluation parameter values of the well to be predicted by combining the quantitative oil and gas productivity evaluation parameters based on the length of a fracturing horizontal segment of the well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

step S25: and determining the oil-gas productivity grade of the well to be predicted based on the oil-gas productivity quantitative evaluation parameter value of the well to be predicted and by combining the corresponding relation between the oil-gas productivity quantitative evaluation parameter value and the oil-gas productivity grade.

Further, establishing a corresponding relationship between the oil and gas productivity quantitative evaluation parameter value and the oil and gas productivity level comprises the following steps:

in one embodiment, the quantitative yield evaluation parameter is

Further, the capacity is the first year daily yield.

Further, in the corresponding relation between the quantitative evaluation parameter value of oil gas productivity and the oil gas productivity level,

Example 1

The embodiment provides a shale and tight rock oil and gas productivity prediction method and an evaluation method, the method is used for predicting and evaluating the productivity of each well in a B block, and the method comprises the following steps:

the method comprises the following steps: constructing quantitative evaluation parameters of oil and gas productivity based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

wherein the quantitative evaluation parameter of the productivity is

Step two: acquiring geological and engineering parameters of the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid consumption per meter of each well of the developed block A, and acquiring the productivity data of each well of the developed block A;

wherein, L in A block_avg＝1385m；β_avg＝56％；h_avg＝5.46m；N_avg0.014 segment/m; s_avg＝1.54t/m；W_avg＝27.24m³/m。

Step three: determining quantitative evaluation parameter values of oil gas productivity of each well of the developed block based on geological and engineering parameters of the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter of the developed block A and combined with the constructed quantitative evaluation parameters of the oil gas productivity;

step four:

(1) fitting and determining the relation between the productivity data and the quantitative evaluation parameters of the productivity based on the productivity data of each well of the developed block A and the quantitative evaluation parameter values of the oil gas productivity of each well of the developed block A, so as to obtain a productivity prediction model;

the relationship between the capacity data and the capacity quantitative evaluation parameters is shown in FIG. 3; the productivity prediction model is as follows:

in the formula, y is the first year daily output; theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgThe average value of the length of the fracture horizontal segment of all the statistical wells of the developed block is obtained; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

(2) Determining a corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level based on the productivity data of each well in the developed block A and the oil gas productivity quantitative evaluation parameter value of each well in the developed block A;

the results are shown in Table 1.

TABLE 1

Gas well classification	First year of birth (Wanfang/Tian)	Quantitative evaluation parameter theta
			Class I	≥10	≥1.60
Class II	6-10	0.45-1.60
			Class III	<6	<0.45

Step five: and acquiring the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter of each well to be predicted in the block B to be predicted.

Step six:

(1) determining the oil gas capacity of the well to be predicted by using the capacity prediction model based on the length of the fracturing horizontal segment of each well to be predicted in the block B to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

the results are shown in Table 2;

(2) determining quantitative oil and gas productivity evaluation parameter values of the well to be predicted by combining the quantitative oil and gas productivity evaluation parameters based on the length of a fracturing horizontal segment of the well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter; determining the oil gas productivity grade of the well to be predicted based on the oil gas productivity quantitative evaluation parameter value of the well to be predicted and combining the corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity grade;

the results are shown in Table 2.

TABLE 2

From table 2, it can be seen that 19 wells among 21 wells in the B block satisfy the classification evaluation standard, only 2 wells fail to satisfy the classification evaluation standard, and the prediction accuracy is 90.5%; the prediction deviation of the predicted first-year daily output and the actual first-year daily output of the 21 wells of the B block is not more than 13.5%.

The quantitative evaluation and prediction method provided by the invention is applied to the C block and the D block for 2 years. The annual first production of 16 wells developed in the C-block in 2019 is improved by 23.3-43.6% compared with the annual first production of 33 wells developed in the C-block in 2018. The annual first production of 22 wells developed in D-block in 2019 is improved by 15.5-30.9% compared with the annual first production of 52 wells developed in D-block 2018.

Comparative example 1

Before 2019, because the established quantitative evaluation and prediction method is not used for guiding production, the first-year daily production of a single well of 33 wells developed in 2018 of a C block is only 6.55 ten thousand square/day, and the economic benefit development requirement of the lowest yield of 6% set by a development scheme cannot be realized. The annual first-year daily yield of a single well of 22 wells developed in the D block in 2019 is only 7.68 ten thousand square/day, and the economic benefit development requirement of the lowest yield rate of 6% set by a development scheme cannot be met.

Comparative example 2

In 2020, the method for quantitatively evaluating and predicting the capacity of the oil-gas well, which is not used correctly in the E block, is specifically characterized in that only the length L of a fracturing horizontal section, the number N of fracturing sections per meter, the sand adding amount S per meter and the liquid consumption amount W per meter are considered, the drilling proportion beta and the thickness h of the reservoir are not considered, and capacity quantitative evaluation parameters are established

For predicting 11 wells for development (see example 1 for other steps), the relationship between the capacity data and the quantitative evaluation parameter of capacity fitted by the capacity data of each well of the developed block a is shown in fig. 4, and the capacity prediction model determined by the capacity data of each well of the developed block a is:

in the formula, y' is the first year daily output; theta' is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgThe average value of the length of the fracture horizontal segment of all the statistical wells of the developed block is obtained; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgThe average value of the number of fracturing sections per meter of all statistical wells of the developed block is obtained; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

The predicted results are shown in Table 3.

TABLE 3

From table 3, it can be seen that the classification evaluation and prediction of 11 wells in the E block are only successful in predicting 1 well, and the prediction deviation between the first-year-day production and the actual first-year-day production of 11 wells is greater than 34%.

Comparative example 3: in 2020, the method for quantitatively evaluating and predicting the capacity of the oil-gas well if the F block is not used correctly is specifically characterized in that the capacity quantitative evaluation parameters are established by considering the porosity K, the organic matter content J, the gas content G, the brittleness index C, the natural fracture trend T, the fracturing section length Y, the liquid amount L and the sand amount A

The relationship between the capacity data and the quantitative evaluation parameters of the capacity is shown in fig. 5, wherein the capacity prediction model determined by using the capacity data of the wells of the developed block a is:

The predicted results are shown in Table 4.

TABLE 4

From table 4, it can be seen that the classification evaluation and prediction of 8 wells in the F block are not successful in predicting 1 well, and the prediction deviation between the first-year-day production and the actual first-year-day production of 8 wells is greater than 36%.

The embodiment of the invention also provides a shale and tight rock oil and gas productivity prediction system, and preferably the system is used for realizing the method embodiment.

Fig. 6 is a block diagram of a shale and tight rock oil and gas production capacity prediction system according to an embodiment of the present invention, as shown in fig. 6, the system includes:

capacity prediction model construction unit 41: the method is used for constructing a yield prediction model of geological and engineering parameters of shale and compact rock oil-gas yield, wherein the geological and engineering parameters comprise the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

the unit 42 for obtaining geology and engineering parameters of the well to be predicted: the method is used for obtaining the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

oil and gas productivity determination unit 43 of the well to be predicted: and determining the oil and gas productivity of the well to be predicted by utilizing the productivity prediction model based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter.

Further, the capacity prediction model building unit 41 includes:

Further, the capacity prediction model determining module comprises:

in one embodiment, the quantitative yield evaluation parameter is

In the formula, theta is a productivity quantitative evaluation parameter; l is the length of the fracturing horizontal segment; beta is the reservoir drilling proportion; h is the reservoir thickness; n is the number of fracturing stages per meter; s is the sand adding amount per meter; w is the liquid consumption per meter; l is_avgThe average value of the length of the fracture horizontal segment of all the statistical wells of the developed block is obtained; beta is a_avgThe average value of the reservoir drilling proportion of all statistical wells in the developed block is obtained; h is_avgThe average value of the reservoir thickness of all statistical wells in the developed block is obtained; n is a radical of_avgNumber of fracturing stages per meter for all statistical wells of developed blockAverage value; s_avgThe average value of the sand adding amount per meter of all statistical wells of the developed block is obtained; w_avgThe average liquid volume per meter for all statistical wells of the developed block.

Further, the capacity is the first year daily yield.

Further, the well to be predicted comprises each well in the block to be predicted, and the prediction system further comprises:

The embodiment of the invention also provides a shale and tight rock oil and gas productivity evaluation system, and preferably the system is used for realizing the method embodiment.

Fig. 7 is a block diagram of a shale and tight rock oil and gas productivity evaluation system according to an embodiment of the present invention, and as shown in fig. 7, the system includes:

evaluation parameter construction unit 51: the method is used for constructing oil and gas productivity quantitative evaluation parameters based on geological and engineering parameters including the length of a fracturing horizontal segment, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing segments per meter, the sand adding amount per meter and the liquid using amount per meter;

capacity level dividing unit 52: the method is used for establishing the corresponding relation between the oil gas productivity quantitative evaluation parameter value and the oil gas productivity level;

the well geology to be predicted and engineering parameter obtaining unit 53: the method is used for obtaining the length of a fracturing horizontal section of a well to be predicted, the drilling proportion of a reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter;

the well evaluation parameter value to be predicted determination unit 54: the method is used for determining the quantitative evaluation parameter value of the oil gas productivity of the well to be predicted based on the length of the fracturing horizontal section of the well to be predicted, the drilling proportion of the reservoir, the thickness of the reservoir, the number of fracturing sections per meter, the sand adding amount per meter and the liquid using amount per meter and in combination with the quantitative evaluation parameter of the oil gas productivity;

oil and gas productivity level determination unit 55 for the well to be predicted: the method is used for determining the oil and gas productivity grade of the well to be predicted based on the oil and gas productivity quantitative evaluation parameter value of the well to be predicted and by combining the corresponding relation between the oil and gas productivity quantitative evaluation parameter value and the oil and gas productivity grade.

Further, the capacity level dividing unit includes:

in one embodiment, the quantitative yield evaluation parameter is

Further, the capacity is the first year daily yield.

Fig. 8 is a schematic diagram of a shale, tight rock oil and gas production capacity prediction apparatus according to an embodiment of the present invention. The shale and tight rock oil and gas production capacity prediction device shown in fig. 8 is a general data processing device, which includes a general computer hardware structure, which includes at least a processor 1000 and a memory 1111; the processor 1000 is configured to execute the inversion program stored in the memory to implement the shale and tight rock oil-gas productivity prediction method according to each method embodiment (for a specific method, refer to the description of the above method embodiment, and no further description is given here).

The embodiment of the invention also provides a schematic diagram of the shale and compact rock oil-gas productivity evaluation device. The shale and tight rock oil and gas capacity prediction device is a general data processing device and comprises a general computer hardware structure, at least comprising a processor and a memory; the processor is configured to execute the inversion program stored in the memory to implement the shale and tight rock oil-gas productivity evaluation method according to each method embodiment (for a specific method, refer to the description of the method embodiment, and no further description is given here).

The embodiment of the present invention further provides a computer-readable storage medium, where one or more programs are stored, and the one or more programs may be executed by one or more processors to implement the shale and tight rock oil and gas productivity prediction methods described in the method embodiments (for a specific method, refer to the description of the above method embodiments, and are not described herein again).

The embodiment of the present invention further provides a computer-readable storage medium, where one or more programs are stored, and the one or more programs may be executed by one or more processors to implement the shale and tight rock oil and gas productivity evaluation method described in each method embodiment (for a specific method, refer to the description of the above method embodiment, and are not described herein again).

The preferred embodiments of the present invention have been described above with reference to the accompanying drawings. The many features and advantages of the embodiments are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the embodiments which fall within the true spirit and scope thereof. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope thereof.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A shale and tight rock oil and gas productivity prediction method comprises the following steps:

2. The prediction method of claim 1, wherein the constructing of the shale, tight rock oil and gas productivity prediction model with respect to geological and engineering parameters including fracture horizontal section length, reservoir drilling proportion, reservoir thickness, number of fracture sections per meter, sand addition per meter and liquid usage per meter comprises:

3. The forecasting method of claim 2, wherein the determining the relationship between the quantitative hydrocarbon productivity evaluation parameter and the productivity to obtain the productivity forecasting model comprises:

4. The prediction method according to claim 2 or 3, wherein the productivity quantitative evaluation parameter is determined based on a product of a relative value of a length of a fracturing horizontal section, a relative value of a drilling proportion of a reservoir, a relative value of a thickness of a reservoir, a relative value of the number of fracturing sections per meter, a relative value of a sand addition amount per meter and a relative value of a liquid consumption amount per meter.

5. The forecasting method according to claim 4, wherein the quantitative yield evaluation parameter is

6. The forecasting method according to any one of claims 1 to 5, wherein the capacity is first-year-day capacity.

7. The prediction method of claim 1, wherein the well to be predicted comprises a well in a block to be predicted, the method further comprising: and determining the oil and gas productivity of the block to be predicted based on the oil and gas productivity of each well in the block to be predicted.

8. A shale and tight rock oil-gas productivity evaluation method comprises the following steps:

9. The evaluation method according to claim 8, wherein the establishing of the correspondence between the quantitative evaluation parameter value of oil and gas productivity and the oil and gas productivity level comprises:

10. The evaluation method according to claim 8 or 9, wherein the productivity quantitative evaluation parameter is determined based on a product of a relative value of a length of a fracturing horizontal section, a relative value of a drilling proportion of a reservoir, a relative value of a thickness of a reservoir, a relative value of the number of fracturing sections per meter, a relative value of a sand addition amount per meter and a relative value of a liquid consumption amount per meter.

11. The evaluation method according to claim 10, wherein the quantitative productivity evaluation parameter is

12. The evaluation method according to any one of claims 8 to 11, wherein the productivity is first-year-day productivity.

13. The evaluation method according to claim 12, wherein in the correspondence relationship between the quantitative evaluation parameter value for oil and gas productivity and the oil and gas productivity level,

14. A shale, tight rock oil and gas productivity prediction system, wherein the system comprises:

15. The forecasting system of claim 14, wherein the capacity forecasting model building unit comprises:

16. The forecasting system of claim 15, wherein the capacity forecasting model determination module comprises:

17. The forecasting system of claim 15 or 16, wherein the quantitative productivity assessment parameter is

18. The forecasting system of any of claims 14-17, wherein the capacity is first-year-day capacity.

19. The prediction system of claim 14, wherein the well to be predicted comprises a well in the block to be predicted, the prediction system further comprising:

20. A shale, tight rock oil and gas productivity evaluation system, wherein, the system comprises:

21. The evaluation system of claim 20, wherein the capacity level division unit comprises:

22. The evaluation system according to claim 21, wherein the quantitative productivity evaluation parameter is

23. An evaluation system according to any of claims 20 to 22, wherein the capacity is first-year-day capacity.

24. The evaluation system of any one of claims 20 to 22, wherein in the relationship between the quantitative evaluation parameter value for oil and gas productivity and the oil and gas productivity level,

25. A shale, tight rock oil and gas productivity prediction device comprises a processor and a memory; wherein the content of the first and second substances,

a memory for storing a computer program;

a processor for implementing the steps of the shale and tight rock oil and gas production capacity prediction method according to any one of claims 1 to 7 when executing the program stored in the memory.

26. A shale, tight rock oil gas productivity evaluation device comprises a processor and a memory; wherein the content of the first and second substances,

a memory for storing a computer program;

a processor for implementing the steps of the shale and tight rock oil and gas productivity evaluation method according to any one of claims 8 to 13 when executing the program stored in the memory.

27. A computer readable storage medium storing one or more programs for execution by one or more processors to perform the steps of the shale, tight rock oil and gas productivity prediction method of any one of claims 1 to 7.

28. A computer readable storage medium storing one or more programs which are executable by one or more processors to perform the steps of the shale, tight rock oil and gas productivity evaluation method of any one of claims 8 to 13.