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• W2008992068 abstract "This article, written by Special Publications Editor Adam Wilson, contains highlights of paper SPE 169918, ’A Case Study of Integrated Asset Modeling To Support Reservoir- Management Strategies for Four Dry-Gas Fields Sharing Production Facilities,’ by O. Espinola, SPE, M. Rocha, SPE, and N.C. Alvarez, SPE, Schlumberger, and J.R. Ramirez, A. Solis, and J.D. Guzman-Arevalo, Pemex, prepared for the 2014 Trinidad and Tobago Energy Resources Conference, Port of Spain, Trinidad and Tobago, 9-11 June. The paper has not been peer reviewed. Integrated asset modeling (IAM) properly models the interaction of fields producing through common production facilities and yields reliable production forecasts, compared with the use of independent models. Using integrated asset models helps validate independent models, honor facilities constraints, and, in general, support the decision-making process in reservoir management. This paper describes a case study in which four reservoir models were coupled with a production-network model, with the objectives of maximizing recovery factors, identifying operational problems, and evaluating water-production effects. Introduction Among the recent discoveries made by Pemex Veracruz Asset are four dry-gas fields with different geological and dynamic properties that must be produced through shared production facilities to be economic. This poses a complex operational scenario involving several questions that need to be answered: What is the optimum exploitation rhythm for each reservoir and its interaction on the surface? On the basis of the fact that one reservoir has an aquifer, what will be the effect on the recovery factor, and what are the challenges at the surface level? Regarding the differences in pressures and volumes, the selection of the compression stages will be difficult because each reservoir will require different capacity and startup dates. What, then, is the optimum compression scheme that generates the maximum value from an economic perspective? As part of the field-development plan, the incorporation of new wells or a new field will be evaluated. What will be the effect of these new elements on the system? To face all these challenges, a multidisciplinary team was appointed to analyze the system from different perspectives and design several exploitation strategies and evaluate them both technically and economically to select the optimum one to produce the fields. The strategies should Manage reservoir pressures to reduce backpressure effects. Minimize the risk to produce water and support the design of water-handling facilities. Identify the wells with liquid-loading problems and low potential. Define the startup date of each compression stage so that all reservoirs benefit at the same time. Evaluate the scenarios economically, considering two schemes—buying and renting compression facilities. Evaluate the effect of future developments, such as workover, infill drilling, and the incorporation of a new field." @default.
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• W2008992068 date "2014-12-01" @default.
• W2008992068 modified "2023-09-23" @default.
• W2008992068 title "A Case Study of Integrated Asset Modeling for Gas Fields Sharing Production Facilities" @default.
• W2008992068 doi "https://doi.org/10.2118/1214-0085-jpt" @default.
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