A quantitative probabilistic framework for estimating the critical moment in a petroleum system

التفاصيل البيبلوغرافية
العنوان: A quantitative probabilistic framework for estimating the critical moment in a petroleum system
المؤلفون: Yuefeng Sun, Adewale Amosu
المصدر: AAPG Bulletin. 103:177-187
بيانات النشر: American Association of Petroleum Geologists AAPG/Datapages, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Mathematical optimization, 020209 energy, media_common.quotation_subject, Probabilistic logic, Energy Engineering and Power Technology, Geology, 02 engineering and technology, Ambiguity, Absolute value (algebra), Physics::Geophysics, Term (time), Moment (mathematics), Fuel Technology, Geochemistry and Petrology, Consistency (statistics), 0202 electrical engineering, electronic engineering, information engineering, Earth and Planetary Sciences (miscellaneous), Point (geometry), Physics::Chemical Physics, Probabilistic framework, media_common
الوصف: The petroleum system concept spans the spatial and temporal extent of all elements and processes required for the generation and preservation of petroleum. The critical moment of a petroleum system is the moment with the highest probability for the generation–migration–accumulation of hydrocarbons. It is an important concept in petroleum exploration risk assessment because the stratigraphic and geographic extents of a petroleum system are determined at the critical moment. In petroleum systems, thermal history data, burial history data, and vitrinite reflectance data may be unavailable, unreliable, or incomplete; this introduces significant uncertainty in the choice of the critical moment. We present here a quantitative probabilistic framework for estimating the critical moment and quantifying the associated uncertainty in such cases. We define a probabilistic early bound and late bound for the critical moment (which, combined together, we term the critical range) and then estimate the moment with the highest numerical probability of generation–migration–accumulation. We define the uncertainty associated with the critical moment as half the absolute value of the critical range. In cases with little ambiguity or duplicity in the timing of petroleum system elements and processes, the critical range converges to one point, which is also the critical moment. The probabilistic framework introduces consistency to the critical moment estimation problem and quantifies the level of uncertainty in the estimation. This reduces the risk involved in petroleum exploration assessment.
تدمد: 0149-1423
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7fa17835ea9217d999152e2aeb7b8461
https://doi.org/10.1306/07031817387
رقم الأكسشن: edsair.doi...........7fa17835ea9217d999152e2aeb7b8461
قاعدة البيانات: OpenAIRE