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Ground pipe network and underground oil reservoir complex system production optimization method

A complex system and optimization method technology, applied in the production optimization field of surface pipeline network and underground oil reservoir complex system, can solve the problem of mining and utilization of time-series characteristics of oilfield block production data, and the total liquid volume processing capacity is not enough to carry out liquid extraction Increase production without considering the interaction of injection and production wells in the oilfield production as a whole, so as to improve production and development benefits and utilization of limited resources, improve injection-production adjustment process, and solve production optimization problems

Pending Publication Date: 2021-03-23
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, with the gradual deepening of development, the offshore oilfields jointly developed by the region are facing many increasingly serious problems: First, most offshore oilfield blocks have entered the stage of medium and high water cut development, and there has been a relatively obvious decline in production; Second, offshore oil fields are restricted by the special geographical environment, and the cost of new facilities is high, and the total liquid handling capacity of the current production-gathering and transportation system is not enough to implement measures to increase production by liquid extraction; third, due to production and development behaviors The production potential of each oilfield block has changed, and the actual situation is significantly different from the original design working condition
However, most of the research at this stage is based on single wells rather than reservoir numerical simulators, which do not consider the integrity of oilfield production and the interaction between injection and production wells. The timing characteristics of oilfield block production data are not mined and utilized

Method used

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  • Ground pipe network and underground oil reservoir complex system production optimization method
  • Ground pipe network and underground oil reservoir complex system production optimization method
  • Ground pipe network and underground oil reservoir complex system production optimization method

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Embodiment Construction

[0019] Such as figure 1 As shown in Fig. 1, the production optimization method of complex system of surface pipeline network and underground reservoir based on deep learning model includes the following steps:

[0020] S1. Select the target oilfield block and collect relevant data.

[0021] Select block C and block N of an offshore oilfield group, and number them 1 and 2 respectively. The number of each oilfield block is represented by the letter a (a=1,...,N B ) to represent, where N B =2 represents the number of oilfield blocks in the offshore oilfield group. At the same time, the Eclipse reservoir numerical simulation model data and production history data of two blocks were collected. Block C has 40 production wells and 22 injection wells, and block N has 10 production wells and 7 injection wells. The gridded schematic diagram of the reservoir numerical simulation model of the two blocks is shown in Fig. 3.

[0022] S2. Establish a "multi-level progressive" production...

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Abstract

The invention relates to a ground pipe network and underground oil reservoir complex system production optimization method. The method includes the steps of selecting an offshore oil field group and an oil field block which need to be subjected to injection-production system adjustment; establishing a multi-stage progressive production gathering and transportation structure model of the offshore oil field group; establishing a ground pipe network and underground oil reservoir complex system production optimization mathematical model; arranging oil field field statistical data or finite oil reservoir numerical simulation results to form time series data, and generating sample points required for training and verifying a deep learning model; establishing an oil reservoir numerical simulationagent model based on a long-term and short-term memory network, and performing training and parameter adjustment; performing optimization solution based on a long-term and short-term memory network agent model and a covariance matrix adaptive evolution strategy; and verifying the injection-production system optimization adjustment effect of the offshore oil field group. According to the ground pipe network and underground oil reservoir complex system production optimization method, an injection-production system of the multiple oil field blocks in the offshore oil field group can be rapidly and comprehensively optimized under a plurality of constraint conditions such as offshore facility liquid volume capacity limitation and the like.

Description

technical field [0001] The invention belongs to the field of oil and gas field development, and in particular relates to a method for optimizing the production of complex systems of surface pipe networks and underground oil reservoirs. Background technique [0002] At the current stage of production and development of offshore oilfields in China, most offshore oilfields (such as oilfield groups in the Bohai Sea, South China Sea, etc.) are dominated by large-scale integrated oilfield blocks, driving adjacent small oilfield blocks to be developed simultaneously. During the development process, a set of production-gathering and transportation system is shared, thus forming a regional integrated development model that is relatively independent and connected as a whole. However, with the gradual deepening of development, the offshore oilfields jointly developed by the region are facing many increasingly serious problems: First, most offshore oilfield blocks have entered the stage...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B47/00G06N20/00
CPCE21B47/00G06N20/00
Inventor 姚传进张凯卢俞辰刘凡樊灵翟亮徐耀东姚军刘均荣张黎明
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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