Results 261 to 270 of about 3,766,928 (338)

Dynamic fracture width prediction for lost circulation control and formation damage prevention in ultra-deep fractured tight reservoir

Fuel, 2022
Chengyuan Xu, Yang Xinglin, Liu Chuan, Yili Kang, Yingrui Bai, Z. You   +5 more
semanticscholar   +3 more sources

Seismic sedimentology analysis of fluvial-deltaic systems in a complex strike-slip fault zone, Bohai Bay Basin, China: Implications for reservoir prediction

Journal of Petroleum Science and Engineering, 2021
The Miocene fluvial-deltaic system in the Bohai Bay Basin exhibits difficulties in favourable reservoir prediction in a complex strike-slip fault zone in the Tanlu fault system.
Zhiwei Zeng, Hongtao Zhu, H. Zeng, Xianghua Yang, Changgui Xu   +4 more
semanticscholar   +1 more source

Prediction of Reservoir Storage in Ungauged Reservoirs by Grouping Reservoir Characteristics

Crisis and Emergency Management: Theory and Praxis, 2021
The reservoir in Korea is managed by the local government and Korea Rural Community Corporation. About 97% of agricultural reservoirs managed by local governments are ungauged reservoirs, and the water supply amount from the reservoirs is estimated by an indirect method.
Da Ye Kim, Seung Jin Maeng, Seung Wook Lee, Eun Bi Hong, Hyeon Cheol Yoon, Ju Ha Hwang, Won Beom Kim   +6 more
openaire   +1 more source

Evaluation of A Data-Driven Flow Network Model (FlowNet) for Reservoir Prediction and Optimization

, 2020
Summary We describe and evaluate a physics-based proxy model approach for reservoir prediction and optimization. It builds on the recent development of so-called flow-network models which represent flow paths between wells by discrete 1D grids with ...
A. Kiærr, O. Lødøen, W. Bruin, E. Barros, O. Leeuwenburgh   +4 more
semanticscholar   +1 more source

Theory-guided data science-based reservoir prediction of a North Sea oil field

, 2020
Data science-based methods, such as supervised neural networks, provide powerful techniques to predict reservoir properties from seismic and well data without the aid of a theoretical model.
J. Downton, O. Collet, D. Hampson, T. Colwell   +3 more
semanticscholar   +1 more source

Application of time-frequency entropy based on high-order synchrosqueezing transform in reservoir prediction

, 2020
Reservoir prediction is an essential component of seismic exploration. We have introduced a new technique for reservoir prediction based on time-frequency entropy that can detect seismic attenuation caused by reservoir fluid, such as gas and oil. The use
Renfei Tian, Xue Lei, Jiangtao Hu
semanticscholar   +1 more source

Gas-Bearing Prediction Using Transfer Learning and CNNs: An Application to a Deep Tight Dolomite Reservoir

IEEE Geoscience and Remote Sensing Letters, 2022
Predicting gas-bearing zone of deep tight dolomite reservoirs from prestack seismic data is challenging and subject to great uncertainty. Machine learning especially for deep learning (DL) provides a new potential.
Jianhu Gao, Zhaohui Song, J. Gui, S. Yuan   +3 more
semanticscholar   +1 more source

Seismic sedimentology of lacustrine delta-fed turbidite systems: Implications for paleoenvironment reconstruction and reservoir prediction

, 2020
The deltaic-turbidite systems are common features in continental lacustrine rift basins. In the Bohai Bay rift Basin, Eastern China, the turbidite sandstones are the critical targets for hydrocarbon production and development.
Marco Shaban Lutome, Chengyan Lin, Dong Chunmei, Xianguo Zhang, Dicky Harishidayat   +4 more
semanticscholar   +1 more source

A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction

Journal of Natural Gas Science and Engineering, 2021
Coupled with the advances in technology, there has been an overabundance of well log data which are highly dimensional and carries vital information about the reservoir.
Daniel Asante Otchere, T. Ganat, R. Gholami, Mutari Lawal   +3 more
semanticscholar   +1 more source

Waterflood Prediction Of Partially Depleted Reservoirs

SPE California Regional Meeting, 1963
Publication Rights Reserved This paper is to be presented at the California Regional Meeting of the Society of Petroleum Engineers of AIME in Santa Barbara, Calif., on Oct. 24–25, 1963, and is considered the property of the Society of Petroleum Engineers.
R.V. Higgins, A.J. Leighton
openaire   +1 more source