A Laboratory and Simulation Study of Preformed Particle Gels for Water Conformance Control
Abstract
Excess water production is a major problem that leads to early well abandonment and unrecoverable hydrocarbon in mature oil fields. Gel treatments at the injection wells to preferentially plug the thief zones are cost-effective methods to improve sweep efficiency in reservoirs and reduce excess water production during hydrocarbon recovery. A recent gel process uses the preformed particle gels (PPGs) to overcome distinct drawbacks inherent in in-situ gelation systems, i.e. lack of control on gelation time, uncertain gelling due to shear degradation, chromatographic fractionation or change of gel compositions, and dilution by formation water. This paper describes the results of PPG injection in both fracture and sandpack models where experimental results were used to develop and validate mechanistic models to design and optimize the flowing gel injection for conformance control processes. Crucial gel properties, such as in-situ rheology and swelling ratio in addition to oil recoveries were investigated. Water and oil permeability reduction factors were measured and modeled as a function of gel rheological properties, rock permeability, and flow rate. The PPG transport models were successfully implemented in a reservoir simulator and validated against the laboratory experiments.
Recommended Citation
A. M. Goudarzi et al., "A Laboratory and Simulation Study of Preformed Particle Gels for Water Conformance Control," Fuel, vol. 140, pp. 502 - 513, Elsevier Ltd, Jan 2015.
The definitive version is available at https://doi.org/10.1016/j.fuel.2014.09.081
Department(s)
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
Conformance Control; Microgels; Permeability Reduction; Preformed Particle Gels (PPG); Water Management; Particle Gels; Simulation Studies
International Standard Serial Number (ISSN)
0016-2361
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Elsevier Ltd, All rights reserved.
Publication Date
01 Jan 2015