Integration of Dynamic Multiphase Flow and Reservoir Models for Improved Oil Recovery Simulation

EasyChair Preprint 15423

Abstract

The utilization of advanced multilateral wells to enhance well-reservoir contact, coupled with water injection, stands out as a common approach to boost oil extraction efficiency. It is imperative to develop precise, fully integrated, dynamic, well-reservoir models tailored for this type of oil recovery to enhance the design of advanced multilateral well completions. This study addresses the challenge by constructing a well model using OLGA®, which is, a dynamic multiphase flow simulator, and a reservoir model using EclipseTM, a reservoir simulator. Subsequently, these models are seamlessly integrated to perform comprehensive simulations. The proposed approach is tested on a case study involving oil recovery through an advanced multilateral well completed with various Flow Control Devices (FCDs) supported by water injection. Results from the simulations demonstrate the success of the integration approach, offering a reliable method for accurately modelling oil recovery from advanced multilateral wells to improve oil recovery. Notably, according to this study, wells completed with Autonomous Inflow Control Valves (AICVs) exhibit superior performance, optimizing oil recovery with a reduced carbon footprint.

Keyphrases: AICV, Advanced multilateral wells, FCD, OLGA-ECLIPSE link, well-reservoir model

@booklet{EasyChair:15423,
  author    = {Charith Rajapaksha and Ismail Hossain Rafi and Nirajan Raut and Ali Moradi and Soheila Taghavi and Britt M.E. Moldestad},
  title     = {Integration of Dynamic Multiphase Flow and Reservoir Models for Improved Oil Recovery Simulation},
  howpublished = {EasyChair Preprint 15423},
  year      = {EasyChair, 2024}}