Results 21 to 30 of about 182 (133)
Main controlling factors and development model of the Miocene marine source rocks in Yinggehai Basin
The Miocene marine source rock is the main oil and gas supplier of the Yinggehai Basin and the typical representative of the Cenozoic marine source rocks in China.Based on comprehensive analysis of geological, geochemical and paleontological data and the
Jianyong Xu +3 more
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This study reviewed the sedimentary characteristics and formation mechanism of the Yinggehai-Qiongdongnan Basin based on the lateral sedimentary distribution, vertical sedimentary sequence, and dynamic sedimentary process.
Hua Wang +6 more
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The moderate deep and deeplayers of the Ledong area in the Yinggehai Basin is regarded as the main districts in recent exploration. The reservoirs in L10 zone are generally characterized by low-porosity and low-permeability, suggesting that the high ...
Fang Li, Yong Deng, Lin Hu, Fan Zhou
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To understand hydrocarbon migration in terms of the mechanisms, accumulations and exploration targets, it is essential to correctly identify and characterize the carrier systems that control fluid-migration history and oil/gas reservoir formation.
Caiwei Fan, Kongyou Wu, Jun Li
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Abstract The Moho is the interface between crust and mantle, and accurate location of the Moho is important for both resource exploration and deep earth condition and structural change investigations. The theory of the traditional Parker‐Oldenburg (P‐O) method is quite simple and it is widely applied in the frequency domain of Moho depth inversion ...
Weibo Rao +8 more
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The Yinggehai Basin is a typical high temperature and high pressure (HTHP) gas-bearing basin. The pressure coefficient exceeds 2.2 in deeply-buried Miocene reservoirs in the Ledong Slope, a nondiapir zone in the Yinggehai Basin.
Caiwei Fan +8 more
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Abstract The Indian collision has deformed the eastern Asian continent in a multifaceted way, uplifting Tibet and surrounding mountains, activating ≥1,000 km‐long strike‐slip faults, and opening Tertiary rifts and oceanic basins up to ≈3,000 km away from the Himalayas. Modeling such broad‐scale tectonics has been challenging.
Liqing Jiao +5 more
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Source Rock Evaluation of Hydrocarbons in Deep‐Water Offshore Areas Based on a BP Neural Network
Due to the lack of drilling data and poor quality of seismic data in deep‐water offshore areas, conventional methods cannot effectively predict the total organic carbon (TOC) content. In this paper, the BP neural network method is used to predict the TOC of the strata overlying the target layer, which adds to the TOC information in the study area. Then,
Jizhong Wu +4 more
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Rock grain size parameter is the key parameter of reservoir rock physics analysis. The study found that the relationship between the NMRT2spectrum and rock grain size distribution curve is directly related to NMRT2distribution and grain size distribution of rock, so you can use T2 to retrieve the size distribution of rock NMR spectral data.
Jinbo Wu +3 more
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2D and 3D seismic data and basin simulation were used to investigate the gas hydrate distribution and natural gas migration pathways in the Qiongdongnan Basin (QDNB). Hydrate‐related amplitude anomalies and extensive bottom simulating reflectors (BSRs) were mapped within the uppermost part.
Tingna Zuo +9 more
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