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Well-Placement Optimization in Heavy Oil Reservoirs Using a Novel Method of In-Situ Steam Generation

[+] Author and Article Information
Tamer Moussa

Petroleum Engineering Department, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), Center for Integrative Petroleum Research, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), P. O. Box: 5049, Dhahran 31261, Saudi Arabia
engineertamer.2007@gmail.com

Mohamed Mahmoud

Petroleum Engineering Department, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), Center for Integrative Petroleum Research, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), P. O. Box: 5049, Dhahran 31261, Saudi Arabia
mmahmoud@kfupm.edu.sa

Esmail M. A. Mokheimer

Mechanical Engineering Department, College of Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Center of Research Excellence in Energy Efficiency (CEEE), King Fahd University of Petroleum and Minerals (KFUPM), Center of Research Excellence in Renewable Energy (CoRe-RE), King Fahd University of Petroleum and Minerals (KFUPM), P. O. Box: 279, Dhahran 31261, Saudi Arabia
esmailm@kfupm.edu.sa

Mohamed A. Habib

Mechanical Engineering Department, College of Engineering, King Fahd University of Petroleum and Minerals (KFUPM), P. O. Box: 1866, Dhahran 31261, Saudi Arabia
mahabib@kfupm.edu.sa

Salaheldin Elkatatny

Petroleum Engineering Department, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), Center for Integrative Petroleum Research, College of Petroleum Engineering & Geosciences, King Fahad University of Petroleum and Minerals (KFUPM), P. O. Box: 5049, Dhahran 31261, Saudi Arabia
elkatatny@kfupm.edu.sa

1Corresponding author.

ASME doi:10.1115/1.4041613 History: Received September 11, 2018; Revised September 24, 2018

Abstract

Determination of optimal well locations plays an important role in the efficient recovery of hydrocarbon resources. However, it is a challenging and complex task. The objective of this paper is to determine the optimal well locations in a heavy oil reservoir under production using a novel recovery process, in which steam is generated, in-situ, using thermochemical reactions. Self-adaptive differential evolution (SaDE) and particle swarm optimization (PSO) methods are used as the global optimizer to find the optimal configuration of wells that will yield the highest net present value (NPV). This is the first known application, where SaDE and PSO methods are used to optimize well locations in a heavy oil reservoir that is recovered by injecting steam generated in-situ using thermo-chemical reactions. Comparison analysis between the two proposed optimization techniques is introduced. On the other hand, laboratory experiments were performed to confirm the heavy oil production by thermochemical means. CMG STARS Simulator is utilized to simulate reservoir models with different well configurations. The experimental results showed that thermochemicals, such as ammonium chloride along with sodium nitrate can be used to generate in-situ thermal energy, which efficiently reduces heavy-oil viscosity. Comparison of results is made between the NPV achieved by the well configuration proposed by the SaDE and PSO methods. The results showed that the optimization using SaDE resulted in 15% increase in the NPV compared to that of the PSO after ten years of production under in-situ steam injection process using thermochemical reactions.

Copyright (c) 2018 by ASME
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