Minerals, 2022 The detailed reservoir characterization was examined for the Central Indus Basin (CIB), Pakistan, across Qadirpur Field Eocene rock units. Various petrophysical parameters were analyzed with the integration of various cross-plots, complex water ...
M. Rashid +9 more
semanticscholar +1 more source
Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression [PDF]
Youqicang pingjia yu kaifa, 2023 The second member of Xujiahe Formation in Xinchang western Sichuan Depression, a tight sandstone reservoir, exhibits strong heterogeneity and thin reservoir characteristics. Previous interpretations of lithology and reservoir properties obtained directly
QIAN Yugui
doaj +2 more sources
Modeling the correlations of crude oil properties based on sensitivity based linear learning method [PDF]
, 2010 This paper presented a new prediction model of pressure–volume–temperature (PVT) properties of crudeoil systems using sensitivity based linear learning method (SBLLM). PVT properties are very important in the reservoir engineering computations.
Abdul Raheemb, Abdul Azeez +3 more
core +1 more source
Shiyou shiyan dizhi, 2021 It is difficult to distinguish reservoirs and non-reservoirs based on the rock's physical properties. The quality of post-stack seismic data in the loess plateau is poor, which makes it a technical bottleneck for the prediction of reservoir of the Upper ...
Hongmei LU +5 more
doaj +1 more source
Comparing carbon sequestration in an oil reservoir to sequestration in a brine formation-field study [PDF]
, 2008 Geologic sequestration of CO2 in an oil reservoir is generally considered a different class than sequestration in formations which contain only brine. In this paper, the significance and validity of this conceptualization is examined by comparing the ...
Choi, Jong-Won +6 more
core +1 more source
Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories [PDF]
, 2020 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Ai, Jiaqiu +4 more
core +2 more sources
Prediction under Uncertainty in Reservoir Modeling
ECMOR VIII - 8th European Conference on the Mathematics of Oil Recovery, 2002 Reservoir simulation is routinely employed in the prediction of reservoir performance under different depletion and operating scenarios. Usually, a single history matched model, conditioned to production data, is obtained. The model is then used to forecast future production profiles.
Subbey, Sam +2 more
openaire +3 more sources
Method and practice of deep favorable shale reservoirs prediction based on machine learning
Petroleum Exploration and Development, 2022 A set of methods for predicting the favorable reservoir of deep shale gas based on machine learning is proposed through research of parameter correlation feature analysis principle, intelligent prediction method based on convolution neural network (CNN),
Bingjie CHENG +5 more
doaj +1 more source
Application of a new method of reservoir interface prediction in geological steering of horizontal Wells [PDF]
E3S Web of Conferences, 2022 New method in this paper, we study the reservoir interface prediction in the application of horizontal well geological guidance function, the article in the process of study, theoretical analysis of the horizontal well geosteering and reservoir ...
Liu Chenpu
doaj +1 more source
Combining hydro-generation and wind energy biddings and operation on electricity spot markets [PDF]
, 2006 Wind generation is growing rapidly in all the world, especially in Europe. The power produced by this kind of generation is difficult to predict and the predictions are not very accurate. In most systems these imbalances are costly.
Angarita Márquez, Jorge Luis +1 more
core +3 more sources