Lithologic Reservoirs ›› 2024, Vol. 36 ›› Issue (6): 23-35.doi: 10.12108/yxyqc.20240603

• PETROLEUM EXPLORATION • Previous Articles     Next Articles

Intelligent comprehensive prediction technology of coalbed methane “sweet spot”reservoir of Jurassic Xishanyao Formation in Baijiahai uplift，Junggar Basin

LI Daoqing1, CHEN Yongbo2, YANG Dong3, LI Xiao1, SU Hang1, ZHOU Junfeng2, QIU Tingcong2, SHI Xiaoqian2   

  1. 1. Research Institute of Exploration and Development, PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China;
    2. PetroChina Research Institute of Exploration and Development-Northwest, Lanzhou 730020, China;
    3. Downhole Services company BHDC, Renqiu 062552, Hebei, China
  • Received:2023-10-31 Revised:2024-02-03 Online:2024-11-01 Published:2024-11-04

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Abstract: In order to solve the problems of small coal thickness，small vertical fault distance of gas source fault，low signal-to-noise ratio of seismic data and difficult to predict the sweet spot reservoir of coal，rock and gas in Baijiahai uplift，Junggar basin. A“five-step method”is proposed，which is controlled stepwise. The re sults show that：（1）“Five-step”comprehensive technology provides a powerful technical means for coalbed methane“sweet spot”reservoir prediction，The specific method is to improve the signal-to-noise ratio and resolu tion of CRP gathers using construction edge preserving denoising and harmonic high-frequency recovery processing techniques；The combination of tuning thickness method and frequency division intelligent inversion method， the thickness distribution range of coalbed section and plane is quantitatively predicted；The deep learning intel ligent fracture detection technology was used to predict the fracture profile and plane distribution characteristics of gas source；Analysis of AVO characteristics with different gas saturation based on fluid replacement of coal and rock，the gas saturation is used to predict the gas distribution range in the study area；The“sweet spot”reser voir is located in the superposition of broken nose（or fault block），large coal rock thickness，gas source fracture and high gas saturation.（2）The“sweet spot”is mainly distributed in the fault nose or block trap on the north and south sides of the strike-slip fault in the northern part of the work area，A total of 31 coalbed methane“sweet spot”regions have developed，with a cumulative area of 231.9 km2，The exploration potential of the five“sweet spot”reservoirs on the north side of the strike-slip fault is greater.（3）The coincidence rate between the test index of the vertical well deployed by the research results and the real drilling results is 92%. At the same time， the trajectory of the horizontal well can be optimized and dynamically monitored to improve the productivity of a single well.

Key words: coalbed methane, prestack CRP gathers processing, intelligent inversion of frequency division, intelligent fracture detection, deep learning, “sweet spot”prediction, Xishanyao Formation, Jurassic, Baijiahai uplift, Junggar Basin

CLC Number: 

  • TE122
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