Results 281 to 290 of about 3,766,928 (338)

Seismic Spectral Decomposition for Reservoir Prediction In Glaciogenic Reservoirs

Proceedings, 2017
The present paper will focus on how to use Seismic Spectral Decomposition and RGB blending applied to a glaciogenic reservoir in Norht Africa aimed to obtain reservoir de-risking maps by calibrating and performing supervised classifications to Spectral Decomp outputs in order to be able to reduce uncertainties regarding the prediction of reservoir ...
F.J. Bataller Torre, A. Moscariello, N. McDougall   +2 more
openaire   +1 more source

Dynamic reservoir prediction using percolation

Percolation Theory in Reservoir Engineering, 2018
openaire   +2 more sources

Temperature Prediction in Stratified Reservoirs

Journal of the Hydraulics Division, 1972
A differential equation is developed to describe the vertical temperature distribution in a stratified reservoir and solved numerically. Outlet temperatures are an integration of temperatures from within the withdrawal layer, the thickness of which depends upon the degree of stratification.
Wayne C. Huber, Donald R. F. Harleman, Patrick J. Ryan   +2 more
openaire   +1 more source

Deep learning reservoir porosity prediction based on multilayer long short-term memory network

Geophysics, 2020
The cost of obtaining a complete porosity value using traditional coring methods is relatively high, and as the drilling depth increases, the difficulty of obtaining the porosity value also increases. Nowadays, the prediction of fine reservoir parameters
Wei Chen, Liuqing Yang, Bei Zha, Mi Zhang, Yangkang Chen   +4 more
semanticscholar   +1 more source

Multiple prediction and reservoir characterization of a tight sand reservoir

SEG Technical Program Expanded Abstracts 2008, 2008
In reservoir property prediction, estimations of presence and thickness of reservoir are often found to be erroneous by drilling results. The reservoir in this study is onshore tight sand gas reservoir with a low impedance contrast between reservoir sands and encasing shale.
Bo Zhao, Friso Brouwer, Fred Aminzadeh, Stan Morris, Ron Harris   +4 more
openaire   +1 more source

Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China

Engineering Geology, 2020
Empirical and numerical methods are widely used in the landslide and slope forecasting fields. The combination of the two methods for prediction is rare.
Xin-li Hu, Shuangshuang Wu, Guangcheng Zhang, Chuncan He, Liu Chang, Zhongxu Liu, Xuyuan Guo, Z. Han   +7 more
semanticscholar   +1 more source

Fluid prediction for paleokarst carbonate reservoir

SEG Technical Program Expanded Abstracts 2015, 2015
Summary Ordovician paleokarst carbonate reservoirs are widely developed in the Tahe Oilfield, China. The storage space is complex, mainly including dissolved caves, pores and fractures, which significantly influence the seismic velocity. In order to accurately discriminate the saturated pore fluids, DEM-Gassmann rock physic model is employed to address
Sam Zandong Sun, Zhengtao Liu*, Ning Dong, Yuanyin Zhang, Liwen Yu, Peifu Wang   +5 more
openaire   +1 more source

Pressure Prediction for Oil Reservoirs

Transactions of the AIME, 1943
Abstract This paper presents the essentials of a mathematical method of studying thepressure beha vior of an oil reservoir as the fluids are withdrawn. Methods areshown whereby the behavior of a reservoir can be used to predict the futurerelationship between withdrawals and pressure.
openaire   +1 more source

Predicting-Wildlife-Reservoirs-Of-Flaviviruses

2018
The first release of the codes for manuscript Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses P. Pandit, M. Doyle, K. Smart, C. Young, G.
Pandit, Pranav, Doyle, Megan, Smart, Katrina, Young, Cristin, Drape, Gaylen, Johnson, Christine   +5 more
openaire   +1 more source

Permeability and porosity prediction using logging data in a heterogeneous dolomite reservoir: An integrated approach

, 2020
The accurate prediction of permeability and porosity is an important foundation for high-quality reservoir identification and geological modelling. However, the strong heterogeneity, complex lithology and diagenesis in carbonates have brought great ...
Zhao Zhang, Heng Zhang, Jie Li, Zhongxian Cai   +3 more
semanticscholar   +1 more source