›› 2014, Vol. 35 ›› Issue (3): 1-1.

   

Application of Convolution Model for Prediction of Volcanic Rocks Distribution in Dixi14 Well Area in Kelameili Gas Field, Junggar Basin

DU Qingxiang1, SHEN Xiaoli2, LI Daoqing3, WANG Bin3   

  1. (1.School of Energy and Resources, China University of Geosciences, Beijing 100083, China; 2.College of Geological Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, China; 3.Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetrChina, Karamay, Xinjiang 834000, China)
  • Online:2019-01-01 Published:1905-07-12

Abstract: When the seismic wavelet has little temporal and spatial changes, single reservoir time thickeness is much more than 1/4λ, and the wave impedance′s change of caprock is not large, we can get a positive correlation formula between seismic amplitude and P?wave impedance through the convolution model′s derivation. This paper makes a more detailed subdivision to composite volcanic rocks and the lithology distribution prediction in Dixi?14 well area in Kelameili gas field by combining with the seismic attributes such as amplitute, frequency, waveform, as well as the reflection time to the top of the Carboniferous in longitudinal. Dixi?14 well area′s reservoir belongs to Carboniferous volcanic rocks dominated by volcanic breccia and tuff, which is mainly effusive basalt and rhyolite in the rim and tuffaceous sandy conglomerate in the middle. With the wave impedance becoming larger, from tuffaceous sandy conglomerate to volcanic breccia, tuff, and then rhyolite, dacite or basalt, the seismic amplitudes enhance successively. The study suggests that there may exist many craters in the area, which include positive structure and negative structure like caldera. In the same way, this paper develops the volcanic spatial eruption modle for Kelameili gas field

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