CN-122014164-A - Oilfield exploitation equipment, oilfield exploitation method, oilfield exploitation device and oilfield exploitation product

CN122014164ACN 122014164 ACN122014164 ACN 122014164ACN-122014164-A

Abstract

The present disclosure relates to the field of petroleum exploitation, and in particular, to an oilfield exploitation apparatus, method, device, and product. The method comprises the steps of determining a multi-objective optimization model and constraint conditions of a target oil field based on an optimization target of the target oil field, wherein the optimization target comprises at least one of oil production, yield increase and resource consumption, the constraint conditions are used for indicating the range of the oil production, the yield increase and the resource consumption, the constraint conditions and the multi-objective optimization model are combined to determine the predicted oil production of the target oil field under the constraint of the constraint conditions for each production measure, the maximum oil production of the target oil field is determined based on the predicted oil production, the production scheme of the target oil field is determined based on the maximum oil production, and the production scheme is used for indicating the target production measure corresponding to the maximum oil production and the production device used by the target production measure and controlling the production device to produce the target oil field through the target production measure.

Inventors

LI WENHE
Lu Jingdai
WU YANG
LIU XIAOHAI
WEI HUILI
WANG TIANZHI

Assignees

东北石油大学

Dates

Publication Date: 20260512
Application Date: 20260416

Claims (10)

1. The oilfield exploitation equipment is characterized by comprising an acquisition device, a processor and an exploitation device; The acquisition device is used for determining a multi-objective optimization model and constraint conditions of a target oil field based on an optimization target of the target oil field, wherein the optimization target comprises at least one of oil recovery, increased yield and consumed resources, and the constraint conditions are used for indicating the range of the oil recovery, the increased yield and the consumed resources; The processor is used for determining oil production parameters, recoverable oil yield parameters and resource parameters of the target oil field, determining a plurality of sub-optimization models of the target oil field based on the oil production parameters, recoverable oil yield parameters and the resource parameters, determining a multi-target optimization model based on the plurality of sub-optimization models, combining the constraint conditions and the multi-target optimization model, determining predicted oil production of the target oil field for each production measure under the constraint of the constraint conditions, determining the maximum oil production of the target oil field based on the predicted oil production, and determining a production scheme of the target oil field based on the maximum oil production, wherein the production scheme is used for indicating the target production measure corresponding to the maximum oil production and the production device used by the target production measure; the exploitation device is used for exploitation of the target oil field through the target exploitation measures.
2. The apparatus of claim 1, wherein the processor determines a multi-objective optimization model of a target oilfield based on an optimization objective of the target oilfield, comprising: determining oil production parameters, recoverable reserve parameters and resource parameters of the target oil field; Determining a plurality of sub-optimization models of the target oil field based on the oil production parameter, the recoverable reserve parameter and the resource parameter, wherein the plurality of sub-optimization models are respectively used for indicating oil production, increased production and resource consumption; The multi-objective optimization model is determined based on the plurality of sub-optimization models.
3. The apparatus of claim 2, wherein the plurality of sub-optimization models includes a first sub-optimization model for indicating oil recovery, the first sub-optimization model being determined by the following formula: , ; Wherein, the Taking the oil increasing effect of the ith exploitation measure for the kth year of the jth oil layer of the target oil field, Oil production of the j-th reservoir with the i-th production measure for the k-th investment, The oil increasing coefficient of the single well in the t year for the ith production measure of the k year production, Initial production for old wells of the target field not taking production steps in the t-th year, For the natural decline rate of the old well in the k-th year, And planning the water flooding post-effect yield of the t th year after the target oil field, wherein t is the number of years of a planning period.
4. The apparatus of claim 2, wherein the plurality of sub-optimization models includes a second sub-optimization model, the second sub-optimization model being used to indicate increased production, the second sub-optimization model being determined by the following formula: , ; Wherein, the Increasing the recoverable reserves for the jth oil layer single well year which is put into production in the kth year and adopts the ith exploitation measure, Oil production of the j-th reservoir, which is the j-th reservoir put into use in the k-th year, using the i-th production.
5. The apparatus of claim 2, wherein the plurality of sub-optimization models includes a third sub-optimization model, the third sub-optimization model being used to indicate resources are consumed, the third sub-optimization model being determined by: , ; Wherein, the Taking the oil increasing effect of the ith exploitation measure for the kth year of the jth oil layer of the target oil field, A single well cost factor for the jth reservoir for the ith production run at the t-th year, Oil production of the j-th reservoir with the i-th production measure for the k-th investment, And (3) a resource coefficient related to the well for a j-th reservoir of an i-th production measure of the target oilfield.
6. The apparatus of claim 1, wherein constraints of the multi-objective optimization model comprise: ; ; ; Wherein, the Oil production of the j-th reservoir with the i-th production measure for the k-th investment, For maximum oil production for the ith production run, For the lower limit of oil production under the ith production measure in the t-th year, For the upper limit of oil production under the ith production measure in the t-th year, Taking the oil increasing effect of the ith exploitation measure for the kth year of the jth oil layer of the target oil field, For the lower limit of oil production for the well developed prior to the t-th year, An upper limit on oil production for the well developed prior to the t-th year.
7. The apparatus of claim 1, wherein the processor determines a maximum oil recovery of the target oil field based on the predicted oil recovery, comprising: determining a target interval population of the predicted oil production; Determining a child population, a non-dominant solution, and a total population of the predicted oil recovery based on the target interval population; Determining a regional leading center based on the non-dominant solution and the total population, and performing dynamic local search based on the regional leading center to determine a designated population, wherein the regional leading center is used for indicating strong dominant points corresponding to the non-dominant solution and sparse solutions of the total population; combining the target interval population, the offspring population and the appointed population to obtain a combined population, and re-determining the target interval population based on the combined population; And executing the step of determining a child population, a non-dominant solution and a total population of the target interval population based on the target interval population until the target interval population meets iteration conditions, and determining the maximum oil recovery based on the target interval population determined last time.
8. An oilfield exploitation method applied to oilfield exploitation equipment, comprising: determining a multi-objective optimization model of a target oilfield based on an optimization objective of the target oilfield, wherein the optimization objective comprises at least one of oil recovery, enhanced production, and consumed resources, and constraints for indicating a range of the oil recovery, the enhanced production, and the consumed resources; combining the constraint conditions and the multi-objective optimization model, and determining the predicted oil production of the objective oil field under the constraint of the constraint conditions for each exploitation measure; Determining a target interval population of the predicted oil production based on the target interval population, a child population, a non-dominant solution, and a total population of the predicted oil production; determining a regional lead center based on the non-dominant solution and the total population, and performing dynamic local search based on the regional lead center to determine a designated population; combining the target interval population, the offspring population and the appointed population to obtain a combined population, and re-determining the target interval population based on the combined population; Executing the steps of determining a child population, a non-dominant solution and a total population of the target interval population based on the target interval population until the target interval population meets iteration conditions, and determining the maximum oil recovery of the target oil field based on the target interval population determined last time; Determining a exploitation scheme of the target oil field based on the maximum oil extraction, wherein the exploitation scheme is used for indicating a target exploitation measure corresponding to the maximum oil extraction and exploitation devices used by the target exploitation measure; And controlling the exploitation device to exploit the target oil field through the target exploitation measures.
9. An apparatus for determining an oilfield exploitation plan, comprising: the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining a multi-objective optimization model and constraint conditions of a target oil field based on the optimization objective of the target oil field, and the constraint conditions are used for indicating the range of oil production, increased production and consumed resources; The second determining module is used for combining the constraint conditions and the multi-objective optimization model to determine the predicted oil production of the objective oil field under the constraint of the constraint conditions for each exploitation measure; A third determining module for determining a maximum oil recovery of the target oil field based on the predicted oil recovery; The fourth determining module is used for determining a exploitation scheme of the target oil field based on the maximum oil extraction, wherein the exploitation scheme is used for indicating a target exploitation measure corresponding to the maximum oil extraction and exploitation devices used by the target exploitation measure; And the control module is used for controlling the exploitation device to exploit the target oil field through the target exploitation measures.
10. A computer program product comprising computer programs/instructions which when executed by a processor implement the steps of the oilfield exploitation method of claim 8.

Description

Oilfield exploitation equipment, oilfield exploitation method, oilfield exploitation device and oilfield exploitation product Technical Field The present disclosure relates to the field of petroleum exploitation technologies, and in particular, to an oilfield exploitation device, method, apparatus, and product. Background Oil field development planning involves many aspects, for example, oil field exploitation equipment needs to consider not only the collected information (i.e., oil recovery, storage amount) of an oil field, but also minimize the consumption of resources while maximizing the oil recovery information, and ensure sustainable exploitation of the oil field. In the related art, aiming at the balance problem of various considerations in oilfield exploitation, the oilfield exploitation equipment is required to establish a target decision method and a comprehensive evaluation system so as to obtain an exploitation scheme aiming at the oilfield. Because the development environment of the oil field is complex and changeable, the data volume of the comprehensive evaluation system is large, and the target decision method is easily influenced by subjective factors. Accordingly, there are problems of inefficiency in time and low accuracy in determining the oilfield exploitation plan that is determined and performed by the oilfield exploitation equipment. Disclosure of Invention The present disclosure has been made in view of the above-described problems. The present disclosure provides an oilfield exploitation apparatus, method, device and product. According to one aspect of the present disclosure, there is provided an oilfield exploitation apparatus comprising an acquisition device, a processor, and an exploitation device; The acquisition device is used for determining a multi-objective optimization model and constraint conditions of a target oil field based on an optimization target of the target oil field, wherein the optimization target comprises at least one of oil recovery, increased yield and consumed resources, and the constraint conditions are used for indicating the range of the oil recovery, the increased yield and the consumed resources; The processor is used for combining the constraint conditions and the multi-objective optimization model, determining the predicted oil production of the target oil field under the constraint conditions for each production measure, determining the maximum oil production of the target oil field based on the predicted oil production, and determining the production scheme of the target oil field based on the maximum oil production, wherein the production scheme is used for indicating the target production measure corresponding to the maximum oil production and the production device used by the target production measure; the exploitation device is used for exploitation of the target oil field through the target exploitation measures. Further, in another embodiment according to one aspect of the present disclosure, the processor determines a multi-objective optimization model of a target oilfield based on an optimization objective of the target oilfield, comprising: determining oil production parameters, recoverable reserve parameters and resource parameters of the target oil field; Determining a plurality of sub-optimization models of the target oil field based on the oil production parameter, the recoverable reserve parameter and the resource parameter, wherein the plurality of sub-optimization models are respectively used for indicating oil production, increased production and resource consumption; The multi-objective optimization model is determined based on the plurality of sub-optimization models. Furthermore, in another embodiment according to one aspect of the present disclosure, the plurality of sub-optimization models includes a first sub-optimization model for indicating oil recovery, the first sub-optimization model being determined by the following formula:,; Wherein, the Taking the oil increasing effect of the ith exploitation measure for the kth year of the jth oil layer of the target oil field,Oil production of the j-th reservoir with the i-th production measure for the k-th investment,The oil increasing coefficient of the single well in the t year for the ith production measure of the k year production,Initial production for old wells of the target field not taking production steps in the t-th year,For the natural decline rate of the old well in the k-th year,And planning the water flooding post-effect yield of the t th year after the target oil field, wherein t is the number of years of a planning period. Furthermore, in another embodiment according to an aspect of the present disclosure, the plurality of sub-optimization models includes a second sub-optimization model for indicating increased production, the second sub-optimization model being determined by the following formula:,; Wherein, the Increasing the recoverable reserves for the jth o