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Origin of Grain-Coating Chlorite and Implications for Reservoir Quality in the Triassic Deep-Buried Volcaniclastic Sandstones, Central Junggar Basin, Northwestern China. [PDF]
Jia F +7 more
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Nanoscale pore structure and fractal characteristics of lacustrine shale: A case study of the Upper Cretaceous Qingshankou shales, Southern Songliao Basin, China. [PDF]
Ji C +6 more
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Geostatistical Interpolation Constrained by Lithofacies
82nd EAGE Annual Conference & Exhibition, 2021Summary Geostatistical technologies, which include two-point geostatistics (TPS) and multiple-point geostatistics (MPS), are significant in both geological modelling and geophysical inversion. However, TPS is incapable to characterise complex geological structures, due to the dependency on the variogram.
B. Yu +5 more
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Lithofacies recognition hybrid bench
Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005Well offshore petroleum exploration is a risky, but very profitable task. Determining the rock formation of each layer of a given reservoir diminishes the risks of expending a great deal of money drilling dry wells. Since collecting offshore rock samples is difficult and expensive, geologists must decide upon drilling based on indirect measures called ...
I.N. Ferraz, A.C.B. Garcia
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GLACIAL LANDFORMS, SEDIMENTS | Glacigenic Lithofacies
2007Glaciation has occurred episodically in Earth history since 2.8 billion years, most notably as the classic Ice Age/interglacials cycles of the recent geologic past (
N. Eyles, M. Lazorek
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Integrated Workflow on Lithofacies Modeling
SPE Middle East Oil & Gas Show and Conference, 2017Abstract 3D lithofacies modeling is a key step in depositional environment analysis. 1D lithofacies modeling along the wellbore is an essential contributor to the 3D modeling. This paper introduces an integrated workflow from 1D to 3D lithofacies modeling and the application of this workflow in an oil and gas field.
William Li Yunsheng, Radhey S Bansal
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Simultaneous lithofacies inversion from prestack amplitudes
SEG Technical Program Expanded Abstracts 2013, 2013Lithofacies prediction from well and seismic data is the challenge for the oil and gas industry to accurately describe the subsurface geology. This paper describes how lithofacies represented by probability vectors can be inverted using simultaneously all the amplitudes corresponding to various distances between source and receiver (offset) reflecting ...
Loic Richard +3 more
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Chapter 5 Interpreting ignimbrites lithofacies
Geological Society, London, Memoirs, 2002Abstract This chapter presents an approach for ignimbrite description and interpretation. It draws on field, granulometric and fabric data from published descriptions of ignimbrites. To describe ignimbrites, we adopt a non-genetic lithofacies scheme (Table 5.1). This avoids possible connotations of 'ideal' sequences or of specific emplacement
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