Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

被引:27
作者
Ashraf, Umar [1 ]
Anees, Aqsa [1 ]
Shi, Wanzhong [2 ,3 ]
Wang, Ren [2 ,3 ]
Ali, Muhammad [4 ]
Jiang, Ren [5 ]
Thanh, Hung Vo [6 ]
Iqbal, Ibrar [7 ]
Zhang, Xiaonan [1 ]
Zhang, Hucai [1 ]
机构
[1] Yunnan Univ, Sch Ecol & Environm Sci, Inst Ecol Res & Pollut Control Plateau Lakes, Kunming, Peoples R China
[2] China Univ Geosci, Sch Earth Resources, Wuhan, Peoples R China
[3] China Univ Geosci, Minist Educ, Key Lab Tecton & Petr Resources, Wuhan, Peoples R China
[4] China Univ Geosci, Inst Geophys & Geomat, Wuhan, Peoples R China
[5] Petro China Co Ltd, Res Inst Petr Explorat & Dev, Beijing, Peoples R China
[6] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea
[7] Guilin Univ Technol, Coll Earth Sci, Guilin, Peoples R China
基金
中国国家自然科学基金;
关键词
constrained sparse spike inversion; porosity estimation; Shanxi and Taiyuan Formations; tight sandstone; hangjinqi area; Ordos Basin; WELL LOGS; ATTRIBUTES;
D O I
10.3389/feart.2022.1014052
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Precision porosity and facies determinations are critical in reducing drilling uncertainty and increasing hydrocarbon recoveries from heterogeneous sources. The porosity and facies distribution of the Taiyuan-Shanxi Formations (T9c-T9d), and Shihezi-1 Formation (T9d-T9e) within the Hangjinqi area are uncertain and no studies have covered the spatial distribution on a regional scale. The heterogeneous nature of coal, mudstone, and sandstone makes it challenging to comprehend the distribution of porosity and lithofacies. Also, the seismic resolution is not able to resolve the reservoir heterogeneity. Therefore, we have employed regional 3D seismic and well logs by utilizing the advanced acoustic impedance inversion to accomplish our study. Results of petrophysical analysis conducted on the well J32 showed that Shihezi-1 and Shanxi-1 Formations have potential gas-saturated zones. Crossplot analysis distinguished the lowest impedance coal from the highest impedance tight sandstone facies. The outcomes of the constrained sparse spike inversion (CSSI) reliably distinguished the coal facies from the channel-tight sandstone facies. The tight sandstone facies showed the highest impedance values as compared to coal and mudstone facies on the absolute acoustic impedance section. Impedance and porosity maps of T9d and T9e suggested the presence of a maximum porosity (8%-12% for T9d, and 5%-10% for T9e), and maximum distribution of tight sandstone facies, while T9c shows the lowest porosity (0%-6%) and lowest impedance values due to the presence of coal facies. Thick braided fluvial channels are evident on the T9d impedance and porosity maps, making it the most favorable horizon to produce the maximum gas. Whereas, T9c shows the least distribution of sandstone facies making it the least favorable. We propose that the zones of maximum porosity on the T9c, T9d, and T9e horizons can be exploited for future gas explorations.
引用
收藏
页数:16
相关论文
共 59 条
[1]  
Abbas A., 2019, PAK J GEOL GEOPHYS, V7, P1, DOI [10.4172/2381-8719.1000455, DOI 10.4172/2381-8719.1000455]
[2]   Seismic inversion as a reliable technique to anticipating of porosity and facies delineation, a case study on Asmari Formation in Hendijan field, southwest part of Iran [J].
Abdolahi, Aziz ;
Chehrazi, Ali ;
Kadkhodaie, Ali ;
Babasafari, Amir Abbas .
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2022, 12 (11) :3091-3104
[3]  
Adekanle A., 2013, American Journal of Scientific and Industrial Research, V4, P31, DOI [10.5251/ajsir.2013.4.1.31.35, DOI 10.5251/AJSIR.2013.4.1.31.35]
[4]   Developing the efficiency-modeling framework to explore the potential of CO2 storage capacity of S3 reservoir, Tahe oilfield, China [J].
Alalimi, Ahmed ;
AlRassas, Ayman Mutahar ;
Vo Thanh, Hung ;
Al-qaness, Mohammed A. A. ;
Pan, Lin ;
Ashraf, Umar ;
AL-Alimi, Dalal ;
Moharam, Safea .
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2022, 8 (04)
[5]   Machine learning-A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs [J].
Ali, Muhammad ;
Jiang, Ren ;
Ma, Huolin ;
Pan, Heping ;
Abbas, Khizar ;
Ashraf, Umar ;
Ullah, Jar .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 203 (203)
[6]   Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan [J].
Ali, Muhammad ;
Ma, Huolin ;
Pan, Heping ;
Ashraf, Umar ;
Jiang, Ren .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 194
[7]  
Anees A., 2017, GEOSCIENCES, V7, P55
[8]   Identification of Favorable Zones of Gas Accumulation via Fault Distribution and Sedimentary Facies: Insights From Hangjinqi Area, Northern Ordos Basin [J].
Anees, Aqsa ;
Zhang, Hucai ;
Ashraf, Umar ;
Wang, Ren ;
Liu, Kai ;
Mangi, Hassan Nasir ;
Jiang, Ren ;
Zhang, Xiaonan ;
Liu, Qi ;
Tan, Shucheng ;
Shi, Wanzhong .
FRONTIERS IN EARTH SCIENCE, 2022, 9
[9]   Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin [J].
Anees, Aqsa ;
Zhang, Hucai ;
Ashraf, Umar ;
Wang, Ren ;
Liu, Kai ;
Abbas, Ayesha ;
Ullah, Zaheen ;
Zhang, Xiaonan ;
Duan, Lizeng ;
Liu, Fengwen ;
Zhang, Yang ;
Tan, Shucheng ;
Shi, Wanzhong .
MINERALS, 2022, 12 (02)
[10]   Channel identification using 3D seismic attributes and well logging in lower Shihezi Formation of Hangjinqi area, northern Ordos Basin, China [J].
Anees, Aqsa ;
Shi, Wanzhong ;
Ashraf, Umer ;
Xu, Qinghai .
JOURNAL OF APPLIED GEOPHYSICS, 2019, 163 :139-150