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Predicting Temperatures in Rivers and Reservoirs

Journal of the Sanitary Engineering Division, 1966
Procedures used in making forecasts of thermal conditions in proposed reservoirs and in streams to be regulated by them are presented. Reference is made to the energy-budget equation that provided the theoretical basis for the temperature forecasts. Methods of collecting and processing the required data are described including both field and office ...
William H. Delay, John Seaders
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Modular Neural Networks Reservoir Properties Prediction

Proceedings, 2010
In this article we represent new technology which can improve performance of the reservoir properties prediction based on the seismic and well data, while using neural networks as prediction mechanism. This technology contains three main steps . 1-st step - Statistical or neural model based attributes selection and transformation.
D.V. Loginov JSC, A.S. Lavrik JSC JSC
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Hydrodynamic Reservoir Simulation of Prediction Cases

SPE Russian Oil and Gas Technical Conference and Exhibition, 2008
Abstract In the report the analysis of the basic difficulties of prediction cases hydrodynamic modeling is executed. It is offered to describe prediction cases not in terms of simulator key words, but in terms of events and patterns of actions. It will raise the quality of prediction cases and will reduce time necessary for its designing.
Olenchikov Dmitry Moiseevich   +1 more
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Diagenesis and reservoir quality prediction

Reviews of Geophysics, 1995
The modern concept of ”diagenesis“ was introduced by Walther one hundred years ago to encompass the postdepositional processes that affect sediments from deposition to low‐grade metamorphism. Since Walther (1893), diagenetic studies have been concerned with an extraordinary variety of chemical and physical interactions, each of which has the potential ...
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Predicting production performance of CBM reservoirs

Journal of Natural Gas Science and Engineering, 2009
Abstract Prediction of gas production from the coalbed methane (CBM) reservoirs is challenging due to the complex interaction of storage and transport mechanisms. The vast majority of the gas in CBM reservoirs is stored by adsorption in the coal matrix which practically has no permeability. The flow to production wells however takes place through the
K. Aminian, S. Ameri
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Predicting Reservoir Properties in Dolomites

1997
ABSTRACT Completely dolomitized Upper Devonian Leduc buildups at depths >4000 m have higher porosities and permeabilities than adjacent limestone buildups; dolostones are more resistant to pressure solution and tend to retain their porosity during burial.
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Predicting nonsmooth chaotic dynamics by reservoir computing

Physical Review E
Reservoir computing (RC) has been widely applied to predict the chaotic dynamics in many systems. Yet much broader areas related to nonsmooth dynamics have seldom been touched by the RC community which have great theoretical and practical importance. The generalization of RC to this kind of system is reported in this paper.
Lufa Shi   +4 more
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Equation Chapter 1 Section 0A comparative study of different machine learning methods for reservoir landslide displacement prediction

Engineering Geology, 2022
Yankun Wang   +5 more
semanticscholar   +1 more source

Fractal dimension, lacunarity and succolarity analyses on CT images of reservoir rocks for permeability prediction

, 2019
An explicit relationship between seepage properties and microscopic structure of porous media is being sought for the development of oil and gas resources.
Yuxuan Xia   +5 more
semanticscholar   +1 more source

Reservoir Souring Modelling, Prediction and Mitigation

Volume 5: Materials Technology; CFD and VIV, 2008
The prediction of reservoir souring due to the activity of sulphate-reducing bacteria (SRB) during water injection is an important consideration in material selection for wells and production facilities. A number of reservoir souring models have been developed in the past 16 years or so, with the objective of predicting the timing and magnitude of H2S ...
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