Exploration progress of the Paleogene in Jiyang Depression, Bohai Bay Basin

Ma, Lichi; Song, Mingshui; Wang, Yongshi; Wang, Yanguang; Liu, Huimin

doi:10.1016/j.engeos.2022.07.004

Cited by 13 publications

(11 citation statements)

References 7 publications

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“…The grain core is dirty and the color of the ring edge is usually bright. If the crystal shape is good, the bright edge fog center structure is obvious (Briais et al, 1993;Budd, 1997;Hong et al, 2004;Ma et al, 2023).…”

Section: Petrological Characteristicsmentioning

confidence: 99%

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Tan

Chen

et al. 2023

Front. Earth Sci.

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In recent years, with the fine exploration of carbonate reservoirs in the Qixia Formation, central Sichuan Basin, researchers have made important oil and gas discoveries in the dolomite reservoirs. However, the characteristics, genesis and controlling factors of dolomite reservoirs in the Qixia Formation in this area are still unclear. In this paper, the petrology, pore structures, physical properties and geochemical characteristics of the dolomite reservoirs in the Permian Qixia Formation in the central Sichuan Basin have been systematically studied based on a large number of cores, thin sections, physical property and geochemical tests. Furthermore, the genesis and main controlling factors of dolomite reservoirs are clarified. The study shows that the dolomites have the characteristics of small single-layer thickness and multi-layer development, and they are usually interbeded with the limestones. The reservoir types are mainly fine crystal and fine medium crystal dolomite, and the reservoir spaces include intercrystalline pores and dissolution pores (or caves). Moreover, the reservoir physical properties are characterized by medium porosity and medium to high permeability. Quasi-syngenetic dolomitization is the main origin of dolomite in the target layer, and the dolomite was slightly modified by hydrothermal solution at the end of the Maokou Formation period. The development of dolomite reservoirs in the Qixia Formation in the study area is affected by palaeogeomorphology, sedimentation and diagenesis. The granular shoal facies developed in the high parts of the paleogeomorphology provides the material basis for the formation of dolomite reservoirs. The high frequency sequence interface controls the development of dolomite reservoirs in the highstand systems tract. In addition, the quasi-syngenetic dissolution promots the development of the early secondary pores and provids an effective channel for the migration of the diagenetic fluids in the later stage. In the direction of orthogonal horizontal deposition, the dolomites have the characteristics of thin monolayer thickness, multiple sequences and are interbedded with limestone. The dolomite shoals in the study area are distributed as clumps in the plane, which has great potential for hydrocarbon exploration.

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Section: Petrological Characteristicsmentioning

confidence: 99%

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Tan

Chen

et al. 2023

Front. Earth Sci.

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“…[9][10][11][12][13][14] In recent years, there has been an increasing focus on beach-bar sedimentary systems for exploring stratigraphic traps in various basins in eastern China. [15][16][17][18] Herein, beach bar sandstones are particular shallowwater deposits, with low mud content and good petrophysical properties. Most importantly, beach bar sandstones are generally covered by a thick layer of mudstone which creates a proper reservoir-cap combination, to trap hydrocarbons.…”

Section: Introductionmentioning

confidence: 99%

“…Overall, beach bar sand bodies have favorable conditions to become a target for hydrocarbon exploration activities due to their proximity to the oil source, good reservoir properties and well‐configuration of source, reservoir and cap rock, which is conducive to large‐scale oil and gas enrichment 9‐14 . In recent years, there has been an increasing focus on beach‐bar sedimentary systems for exploring stratigraphic traps in various basins in eastern China 15‐18 . Herein, beach bar sandstones are particular shallow‐water deposits, with low mud content and good petrophysical properties.…”

Section: Introductionmentioning

confidence: 99%

Sedimentary characteristics, formation conditions, and distribution mechanisms of beach bar sand bodies of Chang 8₂ submember, southwest Ordos Basin

Liao,

Xiao,

Long

et al. 2024

Energy Science & Engineering

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Beach bar sand bodies are a relatively new type of reservoir in oil exploration where they can be found in the proximity of the source rock. In this study, the genetic type of sand bodies in the Upper Triassic Yanchang Formation in the southwest Ordos Basin is systematically studied through the observation of outcrops, core description, microscopic inspection of thin sections, along with petrophysical properties, mineralogy, and geochemical analysis of trace elements. The results showed that a new sedimentary type of beach bar sand bodies are developed in the Chang 82 submember of the Yanchang Formation, that are generally characterized with a flat bottom and convex top, where the contact interface between the bottom of the single sand body and mudstone is flat, and the bottom lacks erosion and filling structure. Moreover, a variety of wave‐induced sedimentary structures are developed, showing a reverse sedimentary sequence from fine to coarse grains. The structural and compositional maturity of the beach bar sand bodies are higher than that of the river channel sand body. Moreover, reservoir pore type is mainly comprised of intergranular pores, and the porosity and permeability of the samples retrieved from the sand body are much higher than that of the river channel sand body. Finally, the main controlling factors of the formation and preservation of beach bar sands are found to be the lake basin bottom topography, the base level cycle, and the stable paleo‐lake shoreline. During the Chang 82 submember depositional period, a large area where the beach bar sand bodies were deposited parallel to the lake shoreline in the southwest of the basin was created. Such depositional environments had suitable conditions to host large‐scale oil‐bearing reservoirs, as major exploration and development targets in the Ordos Basin in the future.

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“…Bonan sub-sag is a secondary sag in the middle of Zhanhua Sag of Jiyang depression, and the Bonan sub-sag is steep in the north-east and slow in the south-west of the faulted basin (Dong, 1993). The Bonan sub-sag is separated by Chengdong Fault and borders with Chengzikou High in the north, separated by Gudong Fault and lies on the west of Gubei Sub-sag, separated by Yidong Fault and is next to Yihezhuang High in the west, and borders with the Chenjiazhuang High in the south (Hu., 2013;He et al, 2016;Ma et al, 2022). The depositional environment of the First Member of Shahejie Formation (Es1) is mainly a deep to semi-deep lake, with the development of a set of thick mud shale with an average thickness of more than 50 m, and forming a source of insufficient supply of brackish to semi-brackish water in a deep to semi-deep lake depositional environment (Li et al, 2018;Song et al, 2022;Zhang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

High‐resolution reservoir prediction method based on data‐driven and model‐based approaches

ZeYang,

Wei,

XiaoHong

et al. 2024

Geophysical Prospecting

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The Jiyang depression in the southeastern part of the Bohai Bay Basin has a relatively large scale set of shale oil in the Paleogene Shahejie Formation, but the complex internal components lead to narrow frequency bands, low resolution and difficulty in reservoir information extraction. Impedance is important information for reservoir characterization, and how to predict high‐resolution impedance using available information is particularly important. Deep learning, known for its effectiveness in addressing non‐linear problems, has found extensive applications in various fields of oil and gas exploration. However, the challenges of overfitting and poor generalization persist due to the limited availability of training datasets. Besides, existing methods often use networks to solve a single problem in fact, deep learning can deal with a series of problems intelligently. In order to partially solve the above problems, an intelligent storage prediction network framework is proposed in this paper. Physical information is introduced to realize data‐driven and model‐based approaches, thus solving the problem of difficult construction of training datasets. The processing part accomplishes the high‐resolution processing of seismic records, thus solving the problems of narrow bandwidth and low resolution. Initial model constraints are introduced so as to obtain more stable inversion results. Finally, the well data is compared and analysed to identify and predict the lithology and complete the intelligent prediction of unconventional reservoirs. The results are compared with the traditional model‐driven inversion method, revealing that the approach presented in this paper exhibits higher resolution in predicting dolomite. This contributes to the establishment of a robust data foundation for reservoir evaluation.

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Exploration progress of the Paleogene in Jiyang Depression, Bohai Bay Basin

Cited by 13 publications

References 7 publications

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Sedimentary characteristics, formation conditions, and distribution mechanisms of beach bar sand bodies of Chang 8₂ submember, southwest Ordos Basin

High‐resolution reservoir prediction method based on data‐driven and model‐based approaches

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Exploration progress of the Paleogene in Jiyang Depression, Bohai Bay Basin

Cited by 13 publications

References 7 publications

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Development characteristics and controlling factors of dolomite reservoirs of permian Qixi a Formation in central Sichuan Basin

Sedimentary characteristics, formation conditions, and distribution mechanisms of beach bar sand bodies of Chang 82 submember, southwest Ordos Basin

High‐resolution reservoir prediction method based on data‐driven and model‐based approaches

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Sedimentary characteristics, formation conditions, and distribution mechanisms of beach bar sand bodies of Chang 8₂ submember, southwest Ordos Basin