Proceedings of SPE Latin America/Caribbean Petroleum Engineering Conference · 1994 · 15 citations · 0 references
EngineeringComputational EngineeringPetroleum EngineeringAlgorithmsOptimizationProduction EngineeringEvolutionary ComputationEvolutionary OptimizationGas InjectionGas Lift SystemsGenetic AlgorithmsProduction OptimizationGas Allocation OptimizationGas Lift ModelingGas Lift OptimizationGas Supply ManagementGenetic Algorithm OptimizationLift Gas DistributionLift Gas OptimizationLift Method Optimization
Application of Genetic Algorithm on the Distribution of Gas-Lift Injection E.R. Martinez; E.R. Martinez Corpoven S.A. Search for other works by this author on: This Site Google Scholar W.J. Moreno; W.J. Moreno Corpoven S.A. Search for other works by this author on: This Site Google Scholar J.A. Moreno; J.A. Moreno U. del Zulia Search for other works by this author on: This Site Google Scholar Ricardo Maggiolo Ricardo Maggiolo U. del Zulia Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Latin America/Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, April 1994. Paper Number: SPE-26993-MS https://doi.org/10.2118/26993-MS Published: April 27 1994 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Martinez, E.R., Moreno, W.J., Moreno, J.A., and Ricardo Maggiolo. "Application of Genetic Algorithm on the Distribution of Gas-Lift Injection." Paper presented at the SPE Latin America/Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, April 1994. doi: https://doi.org/10.2118/26993-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Latin America and Caribbean Petroleum Engineering Conference Search Advanced Search AbstractIn this paper is described the application of a genetic algorithm (GA) to the problem of optimizing production in oil fields operating under the gas lift method. The chosen computational methodology proves to be very effective and efficient in the execution of the task. The method provides assistance to the production engineer en the problem of assigning optimum gas-injection rates to each individual well given an available total gas supply for the field. This development is incorporated as an important utility in a system for computer aided analysis and optimization of gas lift wells developed in Corpoven S.A. (CORPOLAG).The gas-lift optimization system is implemented by means of a genetic algorithm that executes an "intelligent search" in a "gas-injection rate" space. It obtains automatically and with a reasonable small computational effort a distribution of gas-injection rates for the wells in the field. This gas-injection rate is compatible with the restriction of the available gas supply for the field, and maximizes the total quantity of produced liquid.IntroductionThe necessity of optimizing gas lift production is not new. However, the required equipment and technology to achieve this kind of optimization are relatively new. A widely accepted definition of gas-lift optimization is to obtain the maximum output under specified operating conditions. In this respect it should be noted that the definition does not explicitly suggest that maximum production be considered optimum.P. 11^ Keywords: offspring, configuration, application, gas injection, gas injection rate, genetic algorithm, upstream oil & gas, injection rate, society of petroleum engineers, moreno Subjects: Artificial Lift Systems, Information Management and Systems, Gas lift, Artificial intelligence This content is only available via PDF. 1994. Society of Petroleum Engineers You can access this article if you purchase or spend a download.