Integrated Asset Model in Camisea, Peru

Abstract

Abstract An Integrated Asset Model (IAM) Project was carried out for the 56 & 88 Blocks of Camisea area. This area is located in the South Ucayali Basin, Peru, within the Sub-Andean fold and thrust belt. Camisea involves three anticlines with three independent world class reservoirs and is one of the most important natural gas and condensate reserves ever discovered in Latin America. The targets of this study were to evaluate: the Field Development Plan, the Scenario Analysis, Conceptual Compression Plan, Monitoring and Surveillance plan. The IAM was used to evaluate the potential development scenarios, and also to optimize production taking into account reservoir performance, surface facility and process plant constraints. The IAM also makes it easier for production and asset managers to diagnose potential problems at an early stage, and thus intervene before production is compromised, and provides an invaluable framework for performance analysis and decision making. Camisea lies within an environmentally sensitive area, which has dictated an offshore-on-land strategy to minimize the number and footprint of the drilling facilities, and also places significant restrictions on the design of compression equipment which will be required to maintain production rates in the future. The IAM was built incorporating the following models and software: a compositional reservoir model, nodal analysis, surface network modelling and process simulation. The individual models were linked together within integration software which enables dynamic linking and controlling of the various packages. The IAM was validated against historical production data and also benchmarked against stand-alone reservoir model predictions. Several development scenarios were then investigated, including: facility debottlenecking, conversion of redundant cycling injector wells to production, compression optimization, and reservoir uncertainty. The IAM was also used to facilitate the economic evaluation of each case.