CN-122018007-A - Method, device, electronic equipment, storage medium and computer program product for constructing reservoir prediction model based on seismic reflection interface characteristics and deploying well positions by using reservoir prediction model

CN122018007ACN 122018007 ACN122018007 ACN 122018007ACN-122018007-A

Abstract

The invention relates to the technical field of exploration and development, and discloses a method, a device, electronic equipment, a storage medium and a computer program product for constructing a reservoir prediction model based on seismic reflection interface characteristics and deploying well positions by adopting the reservoir prediction model. The method comprises the steps of obtaining single-well objective layer seismic reflection coefficients of a target work area based on seismic data or logging data of the target work area, wherein the single-well objective layer seismic reflection coefficients comprise drilled objective layer seismic reflection coefficients, and constructing a reservoir prediction model based on the drilled objective layer seismic reflection coefficients, logging data, productivity data and logging data. The method is applied to various geological reservoir predictions, and can be beneficial to guiding exploration and development works such as well position deployment and the like by means of the accurate prediction and positioning of the high-quality reservoirs, so that technical support is provided for exploration, the cost is saved, and the exploration success rate is effectively promoted and improved.

Inventors

PENG ANHUA
CHEN NING
ZHAO WENBING
LV XIAOGANG
YAN ZHIHANG
MA TENGFEI
LI HUI

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260512
Application Date: 20241112

Claims (20)

1.A method of constructing a reservoir prediction model based on seismic reflection interface characteristics, the method comprising: Acquiring single-well target layer seismic reflection coefficients of a target work area based on seismic data or logging data of the target work area, wherein the single-well target layer seismic reflection coefficients comprise drilled target layer seismic reflection coefficients; and constructing a reservoir prediction model based on the seismic reflection coefficient of the drilled target layer, logging data, productivity data and logging data.
2. The method of claim 1, wherein the logging data comprises a highest and second highest gas measurement of a zone of interest being drilled, and the capacity data comprises a unit production of the zone of interest, a pressure of a tubing of the zone of interest, and a pressure of a formation.
3. The method of constructing a reservoir prediction model based on seismic reflection interface characteristics of claim 2, wherein obtaining the seismic reflection coefficients of the target zone for which a target zone has been drilled comprises: Selecting the highest and second highest gas logging value well sections of each drilled well of a target work area from logging data, and setting the highest and second highest gas logging value well sections of the drilled well as a target layer; Acquiring the volume density of a well-drilled target reservoir section, the propagation speed of the target reservoir section, the volume density of a target reservoir non-reservoir section and the propagation speed of the target reservoir non-reservoir section based on the well-logging data of the target work area; And acquiring the seismic reflection coefficient of the drilled target layer of the target work area based on the volume density of the drilled target layer reservoir section, the propagation speed of the target layer reservoir section, the volume density of the target layer non-reservoir section and the propagation speed of the target layer non-reservoir section.
4. A method of constructing a reservoir prediction model based on seismic reflection interface characteristics as claimed in claim 3 wherein obtaining a target zone drilled destination layer seismic reflection coefficient based on the drilled destination layer reservoir interval bulk density, the destination layer reservoir interval propagation velocity, the destination layer non-reservoir interval bulk density, and the destination layer non-reservoir interval propagation velocity comprises: Acquiring the wave impedance of the target reservoir section based on the volume density of the target reservoir section and the propagation speed of the target reservoir section; acquiring the wave impedance of the non-reservoir section of the target layer based on the volume density of the non-reservoir section of the target layer and the propagation speed of the non-reservoir section of the target layer; and acquiring the seismic reflection coefficient of the target zone drilled by the target work area based on the target reservoir section wave impedance and the target reservoir non-reservoir section wave impedance.
5. The method of constructing a reservoir prediction model based on seismic reflection interface characteristics of claim 2, wherein obtaining the seismic reflection coefficients of the target zone for which a target zone has been drilled further comprises: Selecting the highest and second highest gas logging value well sections of each drilled well of a target work area from logging data, and setting the highest and second highest gas logging value well sections of the drilled well as a target layer; acquiring the wave impedance of a reservoir section of a drilled target layer and the wave impedance of a non-reservoir section of the target layer based on the seismic data of the target work area; and acquiring the seismic reflection coefficient of the target zone drilled by the target work area based on the target reservoir section wave impedance and the target reservoir non-reservoir section wave impedance.
6. The method for constructing a reservoir prediction model based on seismic reflection interface characteristics of claim 2, wherein obtaining the seismic reflection coefficient of the target work area drilled destination layer further comprises obtaining the seismic reflection coefficient of the carbonate string region drilled destination layer by obtaining a seismic profile based on the seismic data of the target work area; determining the positions of the string beads of the drilling target layer according to the seismic section; acquiring the lowest wave impedance in the beads and the wave impedance of non-reservoir sections around the beads based on the inversion of the seismic data of the target work area; And acquiring the seismic reflection coefficient of the well-drilled target layer in the carbonate string region based on the lowest wave impedance inside the string and the wave impedance of the non-reservoir section around the string.
7. The method of constructing a reservoir prediction model based on seismic reflection interface characteristics of any one of claims 2-6, wherein the reservoir prediction model comprises: A relationship of the reflection coefficient of the drilled target layer and the porosity of the drilled target layer, a relationship of the reflection coefficient of the drilled target layer and the measured value of the drilled gas, a relationship of the reflection coefficient of the drilled target layer and the unit yield of the drilled target layer, a relationship of the reflection coefficient of the drilled target layer and the pressure of the tubing of the drilled target layer, and/or a relationship of the reflection coefficient of the drilled target layer and the pressure of the drilled stratum.
8. The method of constructing a reservoir prediction model based on seismic reflection interface characteristics of claim 7, The relation between the reflection coefficient of the drilled target layer and the drilled porosity is as follows: y 1 ＝a 1 x 1 +b 1 Where y 1 is the reflection coefficient of the drilled target layer relative to the drilled porosity, x 1 is the drilled porosity, a 1 and b 1 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the drilled gas measurement value is as follows: y 2 ＝a 2 x 2 +b 2 where y 2 is the reflection coefficient of the drilled target layer relative to the drilled gas measurements, x 2 is the drilled gas measurements, a 2 and b 2 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the production of the drilled unit is as follows: y 3 ＝a 3 x 3 +b 3 Where y 3 is the reflection coefficient of the drilled target layer relative to the drilled unit yield, x 3 is the drilled unit yield, a 3 and b 3 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the pressure of the drilled target layer oil pipe is as follows: y 4 ＝a 4 x 4 +b 4 Where y 4 is the reflection coefficient of the drilled destination layer relative to the pressure of the drilled destination layer tubing, x 4 is the pressure of the drilled destination layer tubing, a 4 and b 4 are constants, and/or, The relationship between the reflection coefficient of the drilled target layer and the pressure of the drilled stratum is as follows: y 5 ＝a 5 x 5 +b 5 Where y 5 is the reflection coefficient of the drilled target layer relative to the drilled formation pressure, x 5 is the drilled formation pressure, and a 5 and b 5 are constants.
9. A method of deploying a well site, the reservoir prediction model constructed using the method of claims 1-8, the method comprising: Acquiring single-well target layer seismic reflection coefficients of a target work area based on seismic data of the target work area, wherein the single-well target layer seismic reflection coefficients comprise deployment well target layer seismic reflection coefficients; based on the reservoir prediction model and the seismic reflection coefficient of the deployed well target layer, predicting the reservoir development state and the formation pressure of the deployed well of the target work area; and under the condition of trap, deploying the well position based on the reservoir development state and the formation pressure prediction result of the deployment well.
10. The method of claim 9, wherein obtaining the target zone deployment well purpose layer seismic reflection coefficient further comprises: Selecting the highest and second highest gas logging value well sections of each drilled well of a target work area from logging data, and setting the highest and second highest gas logging value well sections of the drilled well as a target layer; acquiring the reservoir section wave impedance of a target reservoir and the non-reservoir section wave impedance of the target reservoir of the deployment well based on the seismic data of the target work area; And acquiring the seismic reflection coefficient of the target zone deployment well target layer based on the target layer reservoir section wave impedance and the target layer non-reservoir section wave impedance.
11. The method of claim 9, wherein predicting reservoir development status and formation pressure predictions for a deployment well of a target work area based on the reservoir prediction model and a deployed well purpose layer seismic reflection coefficient comprises: Predicting the highest and second highest gas measurement values, the porosity, the unit yield, the pressure of a target layer oil pipe and/or the pressure of a stratum corresponding to a target layer of a deployment well based on the reservoir prediction model and the seismic reflection coefficient of the target layer of the deployment well; predicting the reservoir development state of the deployed well target layer based on the highest and second highest gas measurement values corresponding to the deployed well target layer, the porosity and the unit yield; And predicting the formation pressure of the deployed well destination layer based on the destination layer oil pipe pressure and the formation pressure corresponding to the deployed well destination layer.
12. The method of claim 9, wherein deploying the well site based on the reservoir development status and formation pressure predictions of the deployed well comprises: The development state of the reservoir of the deployment well is a high-quality reservoir, and the well position is deployed; the reservoir development state of the deployment well is a poor reservoir, and the well site is not deployed.
13. The method of claim 9, wherein the step of determining the position of the substrate comprises, When the reservoir development state of the deployment well is a good-quality reservoir, if the formation pressure predicted pressure is higher than a threshold value, drilling fluid capable of balancing the formation pressure is selected in the process of deploying the well site.
14. An apparatus for constructing a reservoir prediction model based on seismic reflection interface characteristics, the apparatus comprising: The first acquisition unit is used for acquiring single-well target layer seismic reflection coefficients of the target work area based on the seismic data or logging data of the target work area, wherein the single-well target layer seismic reflection coefficients comprise drilled target layer seismic reflection coefficients; And the construction unit is used for constructing a reservoir prediction model based on the seismic reflection coefficient of the well-drilled destination layer, logging data, productivity data and logging data.
15. The apparatus for constructing a reservoir prediction model based on seismic reflection interface characteristics of claim 14, wherein the reservoir prediction model comprises: a relation between the reflection coefficient of the drilled target layer and the porosity of the drilled target layer, a relation between the reflection coefficient of the drilled target layer and the measured value of the drilled gas, a relation between the reflection coefficient of the drilled target layer and the unit yield of the drilled gas, a relation between the reflection coefficient of the drilled target layer and the pressure of the oil pipe of the drilled target layer and a relation between the reflection coefficient of the drilled target layer and the pressure of the stratum, The relation between the reflection coefficient of the drilled target layer and the drilled porosity is as follows: y 1 ＝a 1 x 1 +b 1 Where y 1 is the reflection coefficient of the drilled target layer relative to the drilled porosity, x 1 is the drilled porosity, a 1 and b 1 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the drilled gas measurement value is as follows: y 2 ＝a 2 x 2 +b 2 where y 2 is the reflection coefficient of the drilled target layer relative to the drilled gas measurements, x 2 is the drilled gas measurements, a 2 and b 2 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the production of the drilled unit is as follows: y 3 ＝a 3 x 3 +b 3 Where y 3 is the reflection coefficient of the drilled target layer relative to the drilled unit yield, x 3 is the drilled unit yield, a 3 and b 3 are constants, and/or, The relation between the reflection coefficient of the drilled target layer and the pressure of the drilled target layer oil pipe is as follows: y 4 ＝a 4 x 4 +b 4 Where y 4 is the reflection coefficient of the drilled target layer relative to the production of the drilled unit, x 4 is the pressure of the drilled target layer tubing, a 4 and b 4 are constants, and/or, The relationship between the reflection coefficient of the drilled target layer and the formation pressure is as follows: y 5 ＝a 5 x 5 +b 5 Where y 5 is the reflection coefficient of the drilled target layer relative to the formation pressure, x 5 is the formation pressure, and a 5 and b 5 are constants.
16. An apparatus for deploying well sites, the reservoir prediction model constructed using the method of claims 1-8, the apparatus comprising: the second acquisition unit is used for acquiring single-well objective layer seismic reflection coefficients of the target work area based on the seismic data of the target work area, wherein the single-well objective layer seismic reflection coefficients comprise deployment objective layer seismic reflection coefficients; The prediction unit is used for predicting the reservoir development state and the formation pressure of the deployment well of the target work area based on the reservoir prediction model and the seismic reflection coefficient of the deployment well; And the deployment unit is used for deploying the well position based on the reservoir development state and the formation pressure prediction result of the deployment well.
17. The apparatus of claim 16, wherein predicting reservoir development status and formation pressure predictions for a deployment well of a target work area based on the reservoir prediction model and a deployed well purpose layer seismic reflection coefficient comprises: Predicting the highest and second highest gas measurement values, the porosity, the unit yield, the pressure of a target layer oil pipe and/or the pressure of a stratum corresponding to a target layer of a deployment well based on the reservoir prediction model and the seismic reflection coefficient of the target layer of the deployment well; predicting the reservoir development state of the deployed well target layer based on the highest and second highest gas measurement values corresponding to the deployed well target layer, the porosity and the unit yield; And predicting the formation pressure of the deployed well destination layer based on the destination layer oil pipe pressure and the formation pressure corresponding to the deployed well destination layer.
18. The apparatus of claim 16, wherein deploying the well site based on the reservoir development status and formation pressure predictions of the deployed well comprises: The development state of the reservoir of the deployment well is a high-quality reservoir, and the well position is deployed; the reservoir development state of the deployment well is a poor reservoir, and the well site is not deployed.
19. An electronic device comprising at least one processor and at least one memory, said memory being in data connection with said processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8 or 9-13.
20. A computer-storable medium, having stored thereon computer instructions which, when executed by a processor, particularly perform the steps of the method of any of claims 1-8 or 9-13.

Description

Method, device, electronic equipment, storage medium and computer program product for constructing reservoir prediction model based on seismic reflection interface characteristics and deploying well positions by using reservoir prediction model Technical Field The invention relates to the technical field of exploration and development, in particular to a method, a device, electronic equipment, a storage medium and a computer program product for constructing a reservoir prediction model based on seismic reflection interface characteristics and deploying well positions by adopting the reservoir prediction model. Background At present, in the aspect of oil and gas field development, the high-quality reservoir prediction technology mainly uses geological modeling of multi-parameter production data fitting analysis, and qualitative or semi-quantitative analysis of a system is used for giving out a high-quality reservoir potential area for guiding production practice. Such as a high-quality reservoir prediction recognition technology based on hierarchical configuration constraint hypotonic phase, a high-quality reservoir prediction based on deposit phase control, and the like, but is influenced by reservoir heterogeneity and seismic data quality, and the high-quality reservoir prediction has multiple solutions. The high-quality reservoir prediction technology in exploration is relatively few, and most of the high-quality reservoir prediction technology takes a geophysical method as a main means, and main stream takes unconventional oil and gas reservoirs, compact sandstone lithology gas reservoirs, special lithology oil and gas reservoirs and the like as research objects, and is a key technology for high-quality reservoir identification by applying the geophysical method. And predicting the pressure of the high-quality reservoir and the stratum, wherein the pressure of the high-quality reservoir and the stratum of the deployment well are predicted according to the stratum pressure conditions of the same horizon of the adjacent well or the adjacent zone according to the reservoir type and the reservoir distribution conditions of the same horizon of the adjacent well or the adjacent zone in the prior art. The prior art has the defect that for clastic rock exploration, only construction trap is predicted, a reservoir is not predicted, the well position is determined at a construction high point, but some reservoirs are not at the construction high point, and the well position is determined incorrectly. For carbonate exploration, the prior art considers the bead center to be the reservoir center, and targets are determined at the bead center. However, the carbonate rock high-quality reservoir is actually located on two sides of one point of the bead, one point is that a high-quality reservoir exists in a certain position in the middle of the bead, two sides are the inner interface and the outer interface of the bead, the outer interface is the outer interface of the whole bead, the inner interface is the outer interface of a central area, and the reservoir layer at the junction of the inner interface and the outer interface and the fracture surface is the most developed. Thus, the prior art does not accurately predict the location of a good quality reservoir, thus causing errors in determining well locations. The stratum pressure of a target layer for well exploration can not be accurately predicted in the prior art, particularly, abnormal high pressure is inaccurate in prediction, and accidents such as blowout and the like are easily caused. Disclosure of Invention In order to solve the problems, the invention provides a method, a device, electronic equipment, a storage medium and a computer program product for constructing a reservoir prediction model based on seismic reflection interface characteristics and deploying well positions by adopting the method, the device, the electronic equipment, the storage medium and the computer program product, which can well predict high-quality reservoir and stratum pressure, deploy well positions according to the prediction results of the high-quality reservoir and the stratum pressure, provide technical support for exploration, and effectively promote and improve exploration success rate. The invention provides the following technical scheme: in a first aspect of the invention, there is provided a method of constructing a reservoir prediction model based on seismic reflection interface characteristics, the method comprising: Acquiring single-well target layer seismic reflection coefficients of a target work area based on seismic data or logging data of the target work area, wherein the single-well target layer seismic reflection coefficients comprise drilled target layer seismic reflection coefficients; and constructing a reservoir prediction model based on the seismic reflection coefficient of the drilled target layer, logging data, productivity data and logging data. Further