Estimation of pore pressure considering hydrocarbon generation pressurization using Bayesian inversion
| Autor: | Jiale Zhang, Zhaoyun Zong, Kun Luo |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Interpretation. 11:T393-T405 |
| ISSN: | 2324-8866 2324-8858 |
| DOI: | 10.1190/int-2022-0082.1 |
| Popis: | Undercompaction and hydrocarbon generation are the main factors affecting pore pressure. The current seismic pore-pressure prediction (PPP) method is to obtain the overpressure trend by estimating the normal compaction trend (NCT) to predict the physical parameters during normal compaction and comparing the measured parameters. However, selecting a single parameter to indicate overpressure may cause insufficient consideration of factors, such as hydrocarbon generation. Because hydrocarbon generation requires specific temperature and other conditions, pore pressure is divided into two parts: undercompaction in the early stage and hydrocarbon generation after reaching the hydrocarbon generation threshold. A rock-physical model is established for estimating the NCT before hydrocarbon generation to modify the bulk modulus of the model and calculate the pressure generated by undercompaction; the pressure generated by hydrocarbon generation is added to obtain the final pore pressure. In the shale gas work area in the Sichuan Basin, the prediction results are more in line with the actual situation, and the petrophysical analysis indicates that the ratio of free hydrocarbon content and kerogen to water is the influencing factor indicating pore pressure. The practicality of the PPP formula considering hydrocarbon generation in oil and gas sweet spots is illustrated through an example in the research area. |
| Databáze: | OpenAIRE |
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