Role of Integrated Asset Model in Selecting an Optimum Development Scenario and Assessing Uncertainty of a Multilayered Rich Gas Condensate Reservoirs – A Case Study from ADCO Fields, UAE

Autor: Kassem Ghorayeb, Osama Al-Shaarawy, Mohieddine Ben Ali Chouaibi, Richard Torrens, Sami El Bahri
Rok vydání: 2014
Předmět:
Zdroj: Day 4 Thu, November 13, 2014.
Popis: For a field development planning (FDP) study of a multilayered, thin, and relatively tight, rich gas condensate reservoir in an Abu Dhabi Company for Onshore Oil Operations (ADCO) field, integrating surface and subsurface elements provided more accurate accounting for the backpressure impact of the production system on the reservoir than is traditionally achievable using standalone reservoir simulation. The backpressure response is a critical factor that must be properly taken into account when modeling multilayered rich gas condensate reservoirs when an early water production is expected. This gas condensate field is located an environmentally sensitive area, which has dictated a shallow water and onshore strategy to minimize the number of drilling facilities. The development wells will be drilled from several well pads (up to six) located in both shallow water and onshore. The integrated asset model (IAM) has three components: the reservoir simulation model (built using a compositional finite difference simulator), the well models, and the surface network model (built in a steady-state multiphase flow simulator). The individual models were linked together within a production operations software platform that enables dynamic linking and controlling of the various packages. Several development scenarios (43) were used to investigate the impact of the following sensitivities on field performance: production phasing, separator sizing, flow assurance, well tubing and flowline sizing, and compression. The IAM was also used to facilitate the economic evaluation for each case. The ultimate objective of the IAM is to select the optimal FDP for multilayered rich gas condensate reservoirs.
Databáze: OpenAIRE