Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study

Author:

Zhao Jin12ORCID,Jin Lu1,Yu Xue1ORCID,Azzolina Nicholas A.1,Wan Xincheng1,Smith Steven A.1,Bosshart Nicholas W.1,Sorensen James A.1,Ling Kegang2

Affiliation:

1. Energy & Environmental Research Center, University of North Dakota, Grand Forks, ND 58202, USA

2. Department of Energy and Petroleum Engineering, University of North Dakota, Grand Forks, ND 58202, USA

Abstract

Although considerable laboratory and modeling activities were performed to investigate the enhanced oil recovery (EOR) mechanisms and potential in unconventional reservoirs, only limited research has been reported to investigate actual EOR implementations and their surveillance in fields. Eleven EOR pilot tests that used CO2, rich gas, surfactant, water, etc., have been conducted in the Bakken unconventional play since 2008. Gas injection was involved in eight of these pilots with huff ‘n’ puff, flooding, and injectivity operations. Surveillance data, including daily production/injection rates, bottomhole injection pressure, gas composition, well logs, and tracer testing, were collected from these tests to generate time-series plots or analytics that can inform operators of downhole conditions. A technical review showed that pressure buildup, conformance issues, and timely gas breakthrough detection were some of the main challenges because of the interconnected fractures between injection and offset wells. The latest operation of co-injecting gas, water, and surfactant through the same injection well showed that these challenges could be mitigated by careful EOR design and continuous reservoir monitoring. Reservoir simulation and machine learning were then conducted for operators to rapidly predict EOR performance and take control actions to improve EOR outcomes in unconventional reservoirs.

Funder

U.S. Department of Energy

Bakken Production Optimization Program (BPOP) at the Energy and Environmental Research Center

DOE

BPOP

Publisher

MDPI AG

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