Xinjiang Petroleum Geology ›› 2020, Vol. 41 ›› Issue (4): 422-429.doi: 10.7657/XJPG20200406

• OIL AND GAS EXPLORATION • Previous Articles     Next Articles

Prediction of Gas Bearing Property in Seismic Frequency Domain for Coal Beds in Dacheng Swell

WANG Yunpeng1(), SU Ri1, MAO Chuanlong2, GUAN Xiaoqu1, LI Guangye3   

  1. 1. Research Institute of Exploration and Development, Huabei Oilfield Company, PetroChina, Renqiu, Hebei 062552, China;
    2. Beijing UltraDo Energy Co. Ltd, Beijing 100083, China;
    3. No.2 Oil Production Plant, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China
  • Received:2019-08-23 Revised:2020-03-09 Online:2020-08-01 Published:2020-08-05

Abstract:

The coal bed in Dacheng swell is characterized by large lateral variation of gas-bearing property and strong anisotropy. Aquifer has been penetrated in partial newly-drilled wells so that detailed prediction of gas-bearing property needs to be performed for the coal bed. During multi-well multi-frequency forward modeling and seismic spectrum analysis, it is found that frequency is sensitive to coalbed methane, so wavelet decomposition and Fourier transform are used to calculate high/ow frequency tuning energy ratio for gas bearing prediction. Based on the statistical analysis of the tuning energy ratio of multi-well near-well seismic, drilling and production data, the standards for gas-bearing property division with tuning energy ratio are established. According to which the VI coal bed of Taiyuan formation in the study area is divided into three types of favorable gas-bearing areas, and the coincidence rate of the predicted results with the actual drilling data reaches 88.9%, showing a good effect. This method breaks through the traditional qualitative prediction in 2D work area, which can be a guidance for production deployment in coalbed gas wells and is worth promoting and applying in similar areas.

Key words: Bohai Bay basin, Dacheng swell, 2D seismic, coal bed, gas bearing property, frequency domain, tuning energy ratio, favorable area prediction

CLC Number: