Results 21 to 30 of about 2,177 (173)

Lithofacies Types, Assemblage Characteristics, and Sedimentary Evolution Model of Lacustrine Shale in Dongyuemiao Formation of Fuxing Area

Frontiers in Earth Science, 2021
The identification and classification of lithofacies’ types are very important activities in shale oil and gas exploration and development evaluation.
Yi Shu, Hanyong Bao, Youheng Zheng, Miankun Chen, Yongchao Lu, Haotian Liu, Wei Peng, Lin Zhou, Yiquan Ma, Yaru Wen, Qiming Wang, Zhiyao Zhang   +11 more
doaj   +1 more source

Logging identification and prediction of lithofacies of lacustrine shale system in Shichang Sub-Sag, Nanpu Depression

地质科技通报, 2021
The study of the lithofacies of shale formation is the basic work for shale oil exploration.Due to the limited distribution of the continental lacustrine basin and the fast variations of lithofacies, it is difficult to accurately identify and predict the
Bang Zeng, Xiaoping Liu, Guoyong Liu, Shaochun Wang, Guoyong Li   +4 more
doaj   +1 more source

Lithofacies characterization and quantitative mineralogical analysis of the sediments from Sahaiawei-1well in the northern Delta Depobelt of the Niger Delta Basin

Journal of Applied Sciences and Environmental Management, 2020
The sediments of Sahaiawei-1 Well in the Northern Delta Depobelt are represented by sand and shale alternation. Lithofacies characterization and X-ray diffraction technique were used to characterize the sediments from the well in order to characterize ...
F.A. Lucas, K Itiowe, E.O. Avwenagha, B.T. Eruebi   +3 more
doaj   +1 more source

Influence of Lithofacies and Diagenetic Processes on the Physical and Mechanical Properties of Carbonate Rocks - Case Study from Sinawin-Sha'wa Area, Libya

Rudarsko-geološko-naftni Zbornik, 2015
Geological investigations were carried out in the Sinawin-Sha'wa area, in northwestern Libya, in order to find suitable rocks for aggregate in asphalt mixtures for Nalut - Ghadamis Road reconstruction.
Uroš Barudžija, Ana Maričić, Vlatko Brčić   +2 more
doaj   +1 more source

Shale dominant lithofacies and shale oil enrichment model of Lower Permian Fengcheng Formation in Hashan area, Junggar Basin

Shiyou shiyan dizhi, 2023
Compared with the Mahu Sag in the Junggar Basin, the adjacent Hashan area has undergone multi-stage napping and complicated oil-gas formation and evolution process, making its shale oil exploration facing many challenges, such as unclear dominant ...
Kuihua ZHANG, Zhongliang SUN, Guanlong ZHANG, Zhenxiang SONG, Hongzhou YU, Jian ZHOU, Tingting CAO, Meiyuan SONG, Bin WANG, Zhiming LI   +9 more
doaj   +1 more source

Lithofacies discrimination using seismic anisotropic attributes from logging data in Muglad Basin, South Sudan

Open Geosciences, 2022
The identification of formations in anisotropic reservoirs using seismic reflection data and logging data may lead to misrepresentations of the actual formations.
Deng William A., Hwang Seho, Jang Seonghyung   +2 more
doaj   +1 more source

Lithofacies Characteristics and Methodology to Identify Lacustrine Carbonate Rocks via Log Data: A Case Study in the Yingxi Area, Qaidam Basin

Energies, 2023
Lacustrine carbonate reservoirs, extensively distributed in China, have extensive oil and gas exploration potential. However, such reservoirs are characterized by high content of terrigenous debris and complex lithofacies, and the resultant high ...
Mingzhi Tian, Zhanguo Liu, Chao Zhu, Kunyu Wu, Yanqing Wang, Guangyong Song, Zhiyuan Xia, Senming Li   +7 more
doaj   +1 more source

A new method of shale oil facies element logging evaluation and its application in Dongying Sag [PDF]

Youqicang pingjia yu kaifa
The lithofacies of shale oil within the Dongying Sag of the Jiyang Depression are distinguished by their complex lithology, strong heterogeneity, and marked regional distribution variances.
GUAN Qianqian, JIANG Long, CHENG Ziyan, ZHANG Diandong, WANG Yunhe, ZHANG Fan   +5 more
doaj   +2 more sources

The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data

Aceh International Journal of Science and Technology, 2021
Lithofacies classification is a process to identify rock lithology by indirect measurements. Usually, the classification is processed manually by an experienced geoscientist.
Sudarmaji Saroji*, Ekrar Winata, Putra Pratama Wahyu Hidayat, Suryo Prakoso, Firman Herdiansyah   +4 more
doaj   +1 more source

Hydrologic Applications of Lithofacies Clastic-Ratio Maps [PDF]

Proceedings of Fall Meeting of the Society of Petroleum Engineers of AIME, 1965
Abstract A sequence of lithofacies clastic-ratio maps will reveal the stratigraphy of an aquifer. The use of these maps in conjunction with a study of the water-level fluctuations of wells and streams will aid in determining the relationship of surface water and ground water.
Wayne A. Pettyjohn, P.G. Randich
openaire   +1 more source