Passive seismic monitoring of an injection-production process in an oilfield using reverse time imaging

Author:

Yuan Runbi1,Zou Zhihui12,Xu Song1,Kuang Wenhuan1

Affiliation:

1. Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Submarine Geosciences and Prospecting Techniques, College of Marine Geosciences, Ocean University of China , Qingdao 266100 , China

2. Laboratory for Marine Mineral Resources, Qingdao Marine Science and Technology Center , Qingdao 266237 , China

Abstract

Abstract Monitoring underground fluid migration caused by injection/production processes is crucial for guiding petroleum exploitation in mature oilfields and ultimately enhancing petroleum production. In this paper, we propose a time-lapse reverse time imaging (RTI) to dynamically monitor the injection/production processes within oilfield. By using RTI to track microseimicities at different time periods, we can analyze the relationship between injection/production activities and the spatiotemporal changes in microseismic distribution. The inferred relationship enables the time-lapse RTI to infer fluid migration patterns within oil reservoirs. To assess the accuracy and spatiotemporal resolution of the time-lapse RTI, we conducted numerical experiments to evaluate the imaging quality under different microseismic distribution scenarios. In addition, we assessed the method's stability under low signal-to-noise ratio conditions. Numerical results indicate that the time-lapse RTI can effectively distinguish the spatiotemporal variations of seismic swarms at depths of 0.5 kilometers within the target layer, even in the presence of strong noise. Practical applications show a significant correlation between changes in swarm distribution surrounding reservoirs and fluctuations in oil production. Using time-lapse RTI enables real-time monitoring of oilfield injection/production processes, thereby offering valuable insights for optimizing oilfield development and fostering future increases in petroleum production.

Funder

National Key Research and Development Program of China

China Association for Science and Technology

Natural Science Foundation of Shandong Province

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

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