Xinjiang Petroleum Geology ›› 2020, Vol. 41 ›› Issue (6): 740-747.doi: 10.7657/XJPG20200616

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Progress of Well Logging Evaluation Techniques for Shale Oil of Lucaogou Formation in Santanghu Basin

HAN Chenga(), CHEN Xuanb, CHEN Jiea, YIN Xueqia, ZHANG Rigonga, GENG Ziyuana, PENG Yazhonga   

  1. a. PetroChina Tuha Oilfield Company, Research Institute of Exploration and Development, Hami, Xinjiang 839009, China
    b. PetroChina Tuha Oilfield Company, Exploration Department, Shanshan, Xinjiang 838202, China
  • Received:2020-04-08 Revised:2020-09-07 Online:2020-12-01 Published:2020-12-02

Abstract:

The shale oil reservoirs of the Lucaogou formation in the Santanghu basin have complex lithologies, various types of reservoir space, and unknown source-reservoir configuration relation, thus the characteristics and distribution rule of sweet spots are unclear. Through calibrating well logging data by core, the well logging data are used to calculate and evaluate the total organic carbon content and hydrocarbon generation potential, then high-quality source rocks in the basin are the classified and evaluated. Reasonable T2 cutoff value and starting time are determined by NMR logging data, the effective reservoirs and oil-bearing property are evaluated according to different grades and types of pores, and the classification and lower limit standards of effective reservoirs are established. Through multi-well comparison and logging-seismic combination, the mutual distribution between source and reservoir and the characteristics of lamellar development are clarified, and the well logging response characteristics and longitudinal distribution of sweet spots are defined. The research results provide a basis for the prediction of shale oil sweet spots and the optimization of favorable zones. The shale oil production capacity construction and efficient producing in Block Tiao 34 and Block Niujuanhu have been realized.

Key words: Santanghu basin, Lucaogou formation, shale oil, sweet spot, well logging evaluation, improved Δlg R model, effective reservoir

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