Study on Injection Allocation Technology of Layered Water Injection in Oilfield Development

Xianing Li (), Bing Hou, He Liu, Hao Guo and Jiqun Zhang
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Xianing Li: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Bing Hou: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
He Liu: Research Institute of Petroleum Exploration & Development, PetroChina Company Limited, Beijing 100083, China
Hao Guo: China Petroleum Technology and Development Corporation, Beijing 100028, China
Jiqun Zhang: Research Institute of Petroleum Exploration & Development, PetroChina Company Limited, Beijing 100083, China

Energies, 2025, vol. 18, issue 13, 1-13

Abstract: Reservoir heterogeneity, fluid property variations, and permeability contrasts across different geological layers result in significant disparities in water absorption capacities during oilfield development, often leading to premature water breakthrough, uneven sweep efficiency, and suboptimal waterflooding outcomes. The accurate determination of layer-specific water injection volumes is critical to addressing these challenges. This study focuses on a study area in China, employing comprehensive on-site investigations to evaluate the current state of layered water injection practices. The injection allocation strategy was optimized using a hybrid approach combining the splitting coefficient method and grey correlation analysis. Key challenges identified in the study area include severe reservoir heterogeneity, poor injection–production correspondence, rapid water cut escalation, and low recovery rates. Seven dominant influencing factors—the sedimentary microfacies coefficient, effective thickness, stimulation factor, well spacing, permeability, connectivity, and permeability range coefficient—were identified through grey correlation analysis. Field application of the proposed method across fourteen wells demonstrated significant improvements: a monthly oil production increase of 40 tons, a water production reduction of 399.24 m 3 /month, and a 2.45% decline in the water cut. The obtained results substantiate the method’s capability in resolving interlayer conflicts, optimizing oil recovery performance, and effectively controlling water channeling problems.

Keywords: layered water injection; splitting coefficient; injection allocation optimization; grey correlation analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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