Seismic prediction of lithofacies heterogeneity in paleogene hetaoyuan shale play, Biyang depression, China
نویسندگان
چکیده
منابع مشابه
Methodology of organic-rich shale lithofacies identification and prediction: A case study from Marcellus Shale in the Appalachian basin
The success of shale gas in North America has attracted increased interest in “unconventional” reservoirs. Two critical factors for shale-gas reservoirs are units amenable to hydrologic fracture stimulation and sufficient natural gas content. The effectiveness of hydrologic fracture stimulation is influenced by rock geomechanical properties, which are related to rock mineralogy. The natural gas...
متن کاملThe application of improved NeuroEvolution of Augmenting Topologies neural network in Marcellus Shale lithofacies prediction
Abstract: The organic-rich Marcellus Shale was deposited in a foreland basin during Middle Devonian. In terms of mineral composition and organic matter richness, we define seven mudrock lithofacies: three organic-rich lithofacies and four organic-poor lithofacies. The 3D lithofacies model is very helpful to determine geologic and engineering sweet spots, and consequently useful for designing ho...
متن کاملpolitical economy of china in central asia
this research is about the political economy of china in central asia. in this research the political & economic interactions affected on chinas political economy in central asia are examined. chinas goal of presence in central asia including political-security, economic and energy goals is described in one part. in another part, the trade relations between china and central asian countries ar...
15 صفحه اولprediction of ignition delay period in d.i diesel engines
a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...
Prediction of ultimate strength of shale using artificial neural network
A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Open Geosciences
سال: 2020
ISSN: 2391-5447
DOI: 10.1515/geo-2020-0202