Xinjiang Petroleum Geology ›› 2020, Vol. 41 ›› Issue (3): 269-277.doi: 10.7657/XJPG20200303

• OIL AND GAS EXPLORATION • Previous Articles     Next Articles

Comprehensive Prediction Model of Total Gas Content in the Shale of Yanchang Formation in Yanchang Petroleum Exploration Area

DENG Changsheng, ZHANG Yi, XIE Xiaofei, MI Weiwei, QIANG Juan, SONG Jiaxuan   

  1. Research Institute, Shaanxi Yanchang Petroleum (Group) Co. Ltd, Xi ’an, Shaanxi 710065, China
  • Received:2019-09-09 Revised:2019-09-17 Online:2020-06-01 Published:2020-06-05

Abstract:

Based on isothermal adsorption experiments of shale samples, the content of adsorbed gas in the shale of Yanchang formation is calculated, and the contents of free gas and dissolved gas in the shale of Yanchang formation are calculated by establishing formulas and logging interpretation. The calculation results show that the total gas content of the shale of Yanchang formation in Yanchang petroleum exploration area is 2.25~5.08 m 3/t, among which the content of the adsorbed gas is 1.75~4.21 m 3/t, the free gas content is 0.20~0.60 m 3/t, the dissolved gas content is 0.05~0.52 m 3/t. Based on the analysis of the correlation between shale gas in different occurrence states and geological factors, it is considered that the content of the adsorbed gas is mainly controlled by temperature, pressure, TOC and water saturation, the content of the free gas is mainly controlled by porosity and gas saturation, and the content of the dissolved gas is mainly constrained by residual oil content, temperature, pressure and relative densities of natural gas and crude oil. A comprehensive prediction model of total shale gas content in different occurrence states is established for Yanchang petroleum exploration area. The measured values of the total shale gas content obtained with in-situ desorption method are used to verify the comprehensive prediction model and the results show that the model is highly reliable.

Key words: Yanchang formation, shale, adsorbed gas, free gas, dissolved gas, main controlling factor, gas content, comprehensive predicion model

CLC Number: