Xinjiang Petroleum Geology ›› 2023, Vol. 44 ›› Issue (2): 136-143.doi: 10.7657/XJPG20230202

• OIL AND GAS EXPLORATION • Previous Articles     Next Articles

Characteristics and Identification of Zeolite-Bearing Tight Sandy Conglomerate Reservoirs in Wuerhe Formation,Mahu Sag

QIN Zhijun2(), CAO Yingchang2, MAO Rui, ZHANG Hao, FENG Cheng3   

  1. 1. PetroChina Xinjiang Oilfield Company, a.Research Institute of Exploration and Development; b.Exploration Utility Department, Karamay, Xinjiang 834000, China
    2. School of Earth Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, China
    3. Petroleum Institute, Karamay Campus, China University of Petroleum (Beijing), Karamay, Xinjiang 834000, China
  • Received:2022-06-23 Revised:2022-09-24 Online:2023-04-01 Published:2023-03-31

Abstract:

Zeolite is found in the tight sandy conglomerate reservoirs of the Permian Wuerhe formation in the Mahu sag, Junggar basin, leading to great difficulties in oil-bearing property evaluation and productivity estimation for the tight sandy conglomerate reservoirs due to their abnormal reservoir physical properties. The experiments by using casting thin sections and scanning electron microscope were carried out to analyze the geological characteristics of zeolite, including the occurrence, symbiotic relationship with other minerals, and diagenetic sequence of zeolite cement. Through the analysis of core and logging data, it is clear that the zeolite-bearing tight sandy conglomerate reservoirs show the logging responses featured with low density, high neutron porosity and high acoustic slowness. By intersecting the difference between neutron logging porosity and density logging porosity with the difference between neutron logging porosity and acoustic slowness porosity, the chart for identifying the sandy conglomerate reservoirs containing zeolites was established. Based on the normalized tri-porosity logging parameters, a model for quantitatively predicting zeolite content was built. By comparing the zeolite content from core analysis with the content predicted by the model, it is confirmed that the prediction accuracy of the model is high. Based on the identification results of the zeolite-bearing tight sandy conglomerate reservoirs in 132 wells, the development zones of tight sandy conglomerate reservoirs containing zeolites in the Wuerhe formation in the study area were determined. The dissolution of zeolites can create a lot of accommodations for hydrocarbon accumulation. The study results provide reliable guidance for predicting favorable areas of tight sandy conglomerate reservoirs in the study area.

Key words: Junggar basin, Mahu sag, Wuerhe formation, tight sandy conglomerate reservoir, zeolite, geological characteristic, logging identification

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