Xinjiang Petroleum Geology ›› 2024, Vol. 45 ›› Issue (1): 109-117.doi: 10.7657/XJPG20240115

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Application of Scattered Wave Field in Identifying Fractured Reservoirs

CHEN Keyang1,2a(), ZHOU Hui1(), YANG Wei2b, WANG Cheng2a   

  1. 1. College of Geophysics,China University of Petroleum,Beijing 102249,China
    2. PetroChina Daqing Oilfield Company Ltd.,a.Research Institute of Exploration and Development,Daqing,Heilongjiang 163712,China; b.No.6 Oil Production Plant,Daqing,Heilongjiang 163114,China
  • Received:2023-09-01 Revised:2023-09-22 Online:2024-02-01 Published:2024-01-23

Abstract:

Fractured reservoirs are important exploration and development targets for increasing oil and gas reserves and production. The conventional post-stack seismic data can not meet the needs of fractured reservoir identification. This paper presents a method for the relative separation of reflected and scattered seismic wave fields based on diffusion filtering. This method predicts fractured reservoirs by adjusting diffusion coefficient and the number of iterations to separate the post-stack seismic data cube into 2 data cubes of reflection wave field and scattered wave field,and then extracting seismic attributes such as coherence,curvature,and ant tracking from the scattered wave field data cube. The method was applied to predict fractures in the weathered crust fractured bedrock reservoirs in the Songliao basin and the fractured reservoirs in the Maokou formation in the Sichuan basin. The results show that the method has higher resolution in predicting fractured reservoirs. The method was verified by the actual drilling data of two wells in the weathered-crust fractured reservoirs in the Daqing exploration area,showing a coincidence rate of 67%. This method can provide references for exploration,development,and well deployment in similar reservoirs.

Key words: scattered wave, reflected wave, wave field, fractured reservoir, reservoir, seismic attribute

CLC Number: