Data description paper
12 Mar 2020
Data description paper
| 12 Mar 2020
The dead line for oil and gas and implication for fossil resource prediction
Xiongqi Pang et al.
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Cited
12 citations as recorded by crossref.
- Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning S. Liu et al. 10.1016/j.fuel.2021.122121
- Evolution of nC16H34-water–mineral systems in thermal capsules and geological implications for deeply-buried hydrocarbon reservoirs G. Yuan et al. 10.1016/j.gsf.2021.101322
- Correlation and difference between conventional and unconventional reservoirs and their unified genetic classification X. Pang et al. 10.1016/j.gr.2021.04.011
- The mechanism of unconventional hydrocarbon formation: Hydrocarbon self-sealing and intermolecular forces C. JIA et al. 10.1016/S1876-3804(21)60042-3
- Evaluation of natural gas hydrate resources in the South China Sea using a new genetic analogy method X. Liu et al. 10.1016/j.petsci.2021.12.004
- Organic geochemical characteristics and shale oil potential of the middle Eocene early-mature shale in the Nanpu Sag, Bohai Bay Basin, Eastern China D. Chen et al. 10.1016/j.marpetgeo.2021.105248
- A unified model for the formation and distribution of both conventional and unconventional hydrocarbon reservoirs X. Pang et al. 10.1016/j.gsf.2020.06.009
- Evaluation and re-understanding of the global natural gas hydrate resources X. Pang et al. 10.1007/s12182-021-00568-9
- Hydrocarbon accumulation depth limit and implications for potential resources prediction X. Pang et al. 10.1016/j.gr.2021.10.018
- Geochemical characteristics, genetic types, and source of natural gas in the Sinian Dengying Formation, Sichuan Basin, China D. Zheng et al. 10.1016/j.petrol.2020.108341
- Buoyance-driven hydrocarbon accumulation depth and its implication for unconventional resource prediction X. Pang et al. 10.1016/j.gsf.2020.11.019
- Lower limit of hydrocarbon generation in source rocks: A case study from the Dongpu Depression, Bohai Bay Basin, East China L. Tang et al. 10.1016/j.jseaes.2019.103928
11 citations as recorded by crossref.
- Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning S. Liu et al. 10.1016/j.fuel.2021.122121
- Evolution of nC16H34-water–mineral systems in thermal capsules and geological implications for deeply-buried hydrocarbon reservoirs G. Yuan et al. 10.1016/j.gsf.2021.101322
- Correlation and difference between conventional and unconventional reservoirs and their unified genetic classification X. Pang et al. 10.1016/j.gr.2021.04.011
- The mechanism of unconventional hydrocarbon formation: Hydrocarbon self-sealing and intermolecular forces C. JIA et al. 10.1016/S1876-3804(21)60042-3
- Evaluation of natural gas hydrate resources in the South China Sea using a new genetic analogy method X. Liu et al. 10.1016/j.petsci.2021.12.004
- Organic geochemical characteristics and shale oil potential of the middle Eocene early-mature shale in the Nanpu Sag, Bohai Bay Basin, Eastern China D. Chen et al. 10.1016/j.marpetgeo.2021.105248
- A unified model for the formation and distribution of both conventional and unconventional hydrocarbon reservoirs X. Pang et al. 10.1016/j.gsf.2020.06.009
- Evaluation and re-understanding of the global natural gas hydrate resources X. Pang et al. 10.1007/s12182-021-00568-9
- Hydrocarbon accumulation depth limit and implications for potential resources prediction X. Pang et al. 10.1016/j.gr.2021.10.018
- Geochemical characteristics, genetic types, and source of natural gas in the Sinian Dengying Formation, Sichuan Basin, China D. Zheng et al. 10.1016/j.petrol.2020.108341
- Buoyance-driven hydrocarbon accumulation depth and its implication for unconventional resource prediction X. Pang et al. 10.1016/j.gsf.2020.11.019
Latest update: 27 Jun 2022
Short summary
Based on geochemical data of 13 634 source rock samples from 1286 wells and 116 489 drilling results for oil and gas from 4978 wells in six major basins of China, we proposed the concept of the active source rock depth limit. It can be used to clarify and predict the maximum depth of fossil fuel distribution in sedimentary basins. The study provides fundamental information for deep hydrocarbon exploration and also advances understanding of the vertical distribution of fossil fuels on our planet.
Based on geochemical data of 13 634 source rock samples from 1286 wells and 116 489 drilling...