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Data-driven water injection reservoir optimization method and system

An optimization method and data-driven technology, applied in multi-objective optimization, neural learning methods, design optimization/simulation, etc., can solve the uncertainty of reservoir geology and petrophysical properties, without considering reservoir heterogeneity, etc. question

Active Publication Date: 2021-05-28
CHINA UNIV OF PETROLEUM (BEIJING) +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the reservoir development method and system provided by this patent do not take into account the heterogeneous physical properties of the reservoir, especially the technical solution of this patent document is to interpret and observe the reservoir by a large amount of water injection and oil recovery layer data obtained by wellbore equipment , these data are highly heterogeneous in time and space, and there are large uncertainties in reservoir geology and petrophysical properties

Method used

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  • Data-driven water injection reservoir optimization method and system
  • Data-driven water injection reservoir optimization method and system
  • Data-driven water injection reservoir optimization method and system

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Embodiment 1

[0042] This embodiment provides a data-driven water injection reservoir optimization method, such as figure 1 As shown, the steps are as follows:

[0043] S100: Establishing a reservoir model based on static data and dynamic data collected in real time. Preferably, a preliminary reservoir model is established based on static data and dynamic data collected in real time;

[0044] Randomly select historical production parameters related to reservoir parameters to perform reservoir model numerical simulation on the preliminary reservoir model;

[0045] When the difference between the numerical simulation results of the reservoir model and the production history is less than the second threshold, the preliminary reservoir model is used as the reservoir model for the optimization of the subsequent water injection plan and drainage plan. Preferably, when the difference between the numerical simulation results of the reservoir model and the production history is greater than the se...

Embodiment approach

[0113] According to a preferred embodiment, the method further includes: determining the first time of opening the well during different start-up times and the second time of closing the well during different downtimes of each single well as a daily accumulation A mixed integer nonlinear programming model for minimizing energy consumption under the condition that the total output does not decrease, and then obtains the optimal and dynamically changing number of start and stop times, first time and second time while avoiding local optimal problems. Preferably, the optimization objective of the mixed integer nonlinear programming model is to minimize energy consumption. The constraints of the mixed integer nonlinear programming model are as follows:

[0114] 1. The total daily cumulative output does not decrease;

[0115] 2. Meet the minimum flow performance;

[0116] 3. The string integrity is greater than the minimum threshold.

[0117] Preferably, the decision variables of...

Embodiment 2

[0119] Such as figure 2 As shown, the present invention provides a data-driven water injection reservoir optimization system, including an acquisition module 100 , a control module 200 and an injection-production device 300 .

[0120] Preferably, the collection module 100 may include a pressure sensor, a temperature sensor, a voltage sensor, and a current sensor. The acquisition module 100 also includes a meter for measuring the water content.

[0121] Preferably, the control module 200 may be a computer device, such as a mobile computing device, a desktop computing device, a server, and the like. The control module 200 may include a processor and a storage device. The storage device is used to store instructions issued by the processor. The processor is configured to execute instructions stored by the storage device. Preferably, a storage device can be provided separately outside the control module 200 . The processor can be a central processing unit (Central Processing...

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Abstract

The invention relates to a data-driven water injection reservoir optimization method and system. The method comprises the steps of establishing a preliminary reservoir model based on static data and dynamic data collected in real time; randomly selecting historical production parameters related to oil reservoir parameters to carry out oil reservoir model numerical simulation on the preliminary oil reservoir model; under the condition that the difference between the numerical simulation result of the oil reservoir model and the production history is smaller than a second threshold value, adopting the preliminary oil reservoir model as an oil reservoir model for optimizing a subsequent water injection scheme and a drainage and production scheme; under the condition that the difference between the numerical simulation result of the oil reservoir model and the production history is greater than a second threshold value, analyzing and selecting at least one first parameter of which the correlation degree is greater than a first threshold value based on the correlation degree between the dynamic data and the numerical simulation result, and adjusting the preliminary oil reservoir model by optimizing at least one first parameter so as to enable the difference between the numerical simulation result and the production history to be smaller than a second threshold value.

Description

technical field [0001] The invention relates to the technical field of reservoir engineering development, in particular to a data-driven water injection reservoir optimization method and system. Background technique [0002] Smart oilfields are based on digital oilfields, making full use of new-generation information technologies such as big data, machine learning, and intelligent algorithms, so that oilfields can observe (collect monitoring data in real time), think (big data analysis methods), and make decisions (machine learning and intelligent algorithms). Intelligent optimization method) and the ability to execute (intelligent oil and gas well control equipment), intelligent oilfield technology is based on all-round interconnection and interoperability, and effectively integrates various systems of oilfield operation. [0003] The optimal design of artificial water injection scheme mainly relies on reservoir engineering method or numerical simulation technology, the des...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/08G06N20/00G06N7/00E21B43/20G06F111/06G06F111/08G06F111/10
CPCG06F30/27G06N3/08G06N20/00E21B43/20G06F2111/08G06F2111/10G06F2111/06G06N7/01Y02A10/40
Inventor 檀朝东王春秋赵小雨牛会钊宋文容宋健
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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