Application of seismic sedimentology in predicating sedimentary microfacies and coalbed methane gas content

Cao, Lutong; Chang, Suoliang; Yao, Yanbin

doi:10.1016/j.jngse.2019.102944

Cited by 11 publications

(4 citation statements)

References 34 publications

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“…The evaluation objects in regard to the shale gas-bearing property can be classified into three types, namely, total gas content evaluation, evaluation of the adsorbed gas or free gas content, and gas saturation evaluation 10 , 11 . The evaluation methods for the shale gas-bearing property can be classified into three types, including the experiment/field testing method 12 – 16 , geophysical method 17 – 19 , and mathematical statistical method 20 , 21 . For example, Chen et al 18 evaluated shale gas-bearing properties and predicted the spatial distribution based on well log interpretation and seismic multiple-attribute analysis.…”

Section: Introductionmentioning

confidence: 99%

Application of mathematical statistics to shale gas-bearing property evaluation and main controlling factor analysis

Pang

et al. 2022

Sci Rep

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Gas-bearing property evaluation and main controlling factor analysis have remained a concern in shale gas research. The application of principal component analysis, an important mathematical statistical method, in gas-bearing property evaluation and main controlling factor analysis of the Longmaxi shale in the Weirong area, Sichuan Basin, was examined. The Longmaxi shale exhibits high heterogeneity, manifested in the organic matter abundance, mineral composition, and pore structure. Seven geological factors, including the temperature, pressure, TOC content, clay content, brittle mineral content, pore volume, and specific surface area (SSA), were selected in principal component analysis. Four principal components with geological significance, such as mineral composition, formation condition, pore structure, and organic matter abundance, were extracted through principal component analysis, and further constituted a comprehensive factor. Shale gas-bearing properties were evaluated according to the score of the comprehensive factor. The Longmaxi shale could be identified as exhibiting good, medium, and poor gas-bearing properties based on the comprehensive factor scores of these samples. According to each geological factor’s contribution to the comprehensive factor, combined with geological analysis, it could be considered that gas-bearing properties are primarily controlled by pore volume, SSA, and clay content, followed by TOC content, brittle mineral content, temperature and pressure.

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Section: Introductionmentioning

confidence: 99%

Application of mathematical statistics to shale gas-bearing property evaluation and main controlling factor analysis

Pang

et al. 2022

Sci Rep

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“…It has played an important role in delineating thin sand bodies, predicting favorable reservoirs and comprehensively evaluating potential blocks in the hydrocarbon-bearing sedimentary basin [20,[23][24][25]. However, there are few studies on the sedimentary facies of coal-bearing series by seismic sedimentology, and previous studies have made preliminary attempts to investigate the sedimentary seal ability and the gas content of coal seams by means of seismic sedimentology [11,26]. In fact, the lithological distribution of coal-bearing basins in China is complex and thin layers are commonly developed [2,12], which makes the relationship between lithology and wave impedance more complicated.…”

Section: Introductionmentioning

confidence: 99%

Seismic-Geological Integrated Study on Sedimentary Evolution and Peat Accumulation Regularity of the Shanxi Formation in Xinjing Mining Area, Qinshui Basin

et al. 2022

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Accurate identification of the lithofacies and sedimentary facies of coal-bearing series is significant in the study of peat accumulation, coal thickness variation and coal-measured unconventional gas. This research integrated core, logging and 3D seismic data to conduct a comprehensive seismic–geological study on the sedimentary evolution characteristics and peat accumulation regularity of the Shanxi Formation in the Xinjing mining area of the Qinshui Basin. Firstly, the high-resolution sequence interface was identified, and the isochronous stratigraphic framework of the coal-bearing series was constructed. Then, the temporal and spatial evolution of sedimentary filling and sedimentary facies was dynamically analyzed using waveform clustering, phase rotation, stratal slice and frequency–division amplitude fusion methods. The results show that the Shanxi Formation in the study area can be divided into one third-order sequence and two fourth-order sequences. It developed a river-dominated deltaic system, mainly with delta plain deposits, and underwent a constructive–abandoned–constructive development stage. The locally distributed No. 6 coal seam was formed in a backswamp environment with distribution constrained by the distributary channels. The delta was abandoned at the later stage of the SS1 sequence, and the peat accumulation rate was balanced with the growth rate of the accommodation, forming a large-area distributed No. 3 thick coal seam. During the formation of the SS2 sequence, the No. 3 coal seam was locally thinned by epigenetic erosion of the river, and the thin coal belt caused by erosion is controlled by the location of the distributary channels and their extension direction. This study can provide a reference for the research on the distribution of thin sand bodies, sedimentary evolution and peat accumulation regularity in the coal-bearing series under the marine–continental transitional environment.

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“…Traditional reservoir architecture analysis is mostly reliant on outcrops, core, and logging data [24]. However, the spatial distribution of the delta front sand body is extremely complicated, making it challenging to precisely characterize the reservoir architecture using well and core data [25]. With the rapid development of seismic sedimentology, the combination of well and seismic data has become a novel method to characterize reservoir architecture.…”

Section: Introductionmentioning

confidence: 99%

Sedimentary Architecture Analysis of Deltaic Sand Bodies Using Sequence Stratigraphy and Seismic Sedimentology: A Case Study of Jurassic Deposits in Zhetybay Oilfield, Mangeshrak Basin, Kazakhstan

Zhao

Liao

et al. 2022

Energies

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Three-dimensional (3D) seismic data and well log data were used to investigate the sandstone architecture of the Middle Jurassic deltaic reservoirs of the Zhetybay Oilfield, Mangeshrak Basin, Kazakhstan. The base-level cycles of different scales were identified and divided using well log and 3D seismic data. Five types of sedimentary boundaries were identified in the mouth bar sandstones. The boundaries divide single mouth bars. Vertically, the spatial distribution of sand bodies can be divided into superposed, spliced, and isolation modes. Laterally, contact modes can be divided into superposition, lateral, and isolation modes. We found that the base-level cycle controls the evolution of the delta front sand body architecture. In the early decline or late rise of the base-level cycle, the superimposed or spliced modes dominate the sand body. By contrast, the lateral or isolation modes dominate the sand body in the late decline or early rise of the base-level cycle. This paper proposes an architecture model of the delta front sand bodies controlled by the base-level cycle. The spatial distribution and morphological variation of deltaic sand bodies could be linked to the base-level cycles.

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Application of seismic sedimentology in predicating sedimentary microfacies and coalbed methane gas content

Cited by 11 publications

References 34 publications

Application of mathematical statistics to shale gas-bearing property evaluation and main controlling factor analysis

Application of mathematical statistics to shale gas-bearing property evaluation and main controlling factor analysis

Seismic-Geological Integrated Study on Sedimentary Evolution and Peat Accumulation Regularity of the Shanxi Formation in Xinjing Mining Area, Qinshui Basin

Sedimentary Architecture Analysis of Deltaic Sand Bodies Using Sequence Stratigraphy and Seismic Sedimentology: A Case Study of Jurassic Deposits in Zhetybay Oilfield, Mangeshrak Basin, Kazakhstan

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