Title | ||
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Rigorous Integrated Evolutionary Workflow for Optimal Exploitation of Unconventional Gas Assets |
Abstract | ||
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AbstractApplications of stochastic evolutionary algorithms in engineering are gaining more attention in practical applications in the oil and gas industry. An important factor to consider when implementing stochastic algorithms is its ability to find the global optimum efficiently. In this study the authors formulate, implement, and test a genetic algorithm with strong elitism to solve a critical problem in the upstream oil industry: how to develop economically an unconventional gas asset. This problem involves finding the optimal number of horizontal wells, the number of transverse hydraulic fracture stages along them, and stage half-length. The described problem is inherently discrete or mixed optimization problem for which the authors develop a conceptually new evolutionary integrated framework that addresses all production design questions. They outline the range of applicability of their workflow and provide ample test cases and results. Their rigorous formulation performs well for a given problem statement and finds the optimal solution that is consistent with the industry accepted optimum. |
Year | DOI | Venue |
---|---|---|
2017 | 10.4018/IJEOE.2017010106 | Periodicals |
Keywords | Field | DocType |
Genetic Algorithm, Hydraulic Fracture Placement, Integrated Optimization, Net Present Value, Shale Gas, Stochastic Evolutionary Optimization, Unconventional Gas Reservoir, Wellbore Placement | Petroleum industry,Mathematical optimization,Evolutionary algorithm,Problem statement,Test case,Unconventional oil,Optimization problem,Workflow,Mathematics,Genetic algorithm | Journal |
Volume | Issue | ISSN |
6 | 1 | 2160-9500 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tatyana Plaksina | 1 | 1 | 0.36 |
Eduardo Gildin | 2 | 30 | 4.48 |