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The Optimization and Programming of Oilfield Surface Gathering Network

Author: ZhangZiBo
Tutor: LiZiLi
School: China University of Petroleum
Course: Oil and Gas Storage and Transportation Engineering
Keywords: Low permeability Oilfield Gathering Pipeline Network Optimal design Software Genetic Algorithms
CLC: TE863
Type: Master's thesis
Year: 2011
Downloads: 72
Quote: 1
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Abstract


Oilfield construction in ground engineering construction costs account for a large proportion, the design phase can effectively save the ground engineering construction investment good investment control. The ultra-low permeability oilfield complex terrain conditions, gathering and transportation pipe network optimization design method for the study and development of oil gathering and transportation system optimization design software. Method around obstacles, using a suitable complex terrain next set of transportation pipeline network optimization designed around obstacles algorithm, given around the obstacle to the mathematical description of the problem and the solution, the obstacles caused by the impact consider optimized around obstacles algorithm integrated in the software tube length calculations, and save the path around the obstacle, to improve the accuracy of calculated considering the obstacles will optimize. Characteristics of ultra-low permeability oilfield complex terrain conditions, to study the mathematical model of the transportation pipeline network optimization, global optimization after the completion of the well group is divided into a local optimum problem, avoid the calculation. An improved boundary search method in the process of solving the mathematical model, the first to complete the well group is divided, then In this paper, the use of booster pump station processing model to solve the problem of some wells back pressure in the well group, the well group divided and booster pump station with processing model to pave the way to the computation of the genetic algorithm to handle wells and stations subordinate relations and wellhead back pressure problem. Using a genetic algorithm and mathematical models. Problem solving in the penalty function method to handle constraints and the station site falls within the obstacle penalty function processing, calculation results show that the model is appropriate, the algorithm stable operation and convergence results. The software uses the SRTM terrain data for the oil region, the data involved in various computing process of the optimization process, making the model more realistic, abstract and effectively improve the accuracy of design optimization. Software using C # developers, the advantages of the C # language has been well represented in the software development process, and using C # and OpenGL technology combined with SRTM data to achieve the oil zone topography and optimize the results of three-dimensional display, showing good results. Changqing oil region is an example calculation and analysis of the optimization results, get the best set of input sample oil region radius of 2km, and genetic algorithm parameter optimization results. The results show that the genetic algorithm in the good effect of this optimization problem.

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CLC: > Industrial Technology > Oil and gas industry > Oil, natural gas storage and transportation > Mine oil and gas gathering and processing > Oil and gas gathering and transportation system design and management
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