...Jincong He; Matthew Avent; Mathieu Muller; Lauren Bordessa Summary Pressure measurement from permanent downhole gauges (PDHGs) during extended shut ins (SIs) is a key piece of information that is often used for model calibration and reserve estimation in deepwater gas reservoirs. A key challenge...

... upstream oil & gas calibration fracture-initiation pressure poisson fracture fracture creation drilling fluid formulation calculation mpa effective stress stress field mixed-mode model criteria borehole borehole wall annular pressure drilling moduli frame moduli pre-existing fracture...

...Kevin Simon; Alexander H. Slocum Summary Linear network models are promisingly simple progressive cavity pump design tools. Current linear network models are difficult to use in the design process because they require calibration against experimental data or computationally intensive simulation...

... model calibration procedure, only a subset of model inputs is adjusted to improve the agreement between model responses and historical data. The remaining model inputs that are not calibrated and are likely fixed at incorrect values result in model error in a similar manner as the imperfect model...

...Shingo Watanabe; Jichao Han; Gill Hetz; Akhil Datta-Gupta; Michael J. King; D. W. Vasco Summary We present an efficient history-matching technique that simultaneously integrates 4D repeat seismic surveys with well-production data. This approach is particularly well-suited for the calibration...

... in 3D pore-scale images with a topological technique. The second approach combines image analysis and electrical formation factor. The new NMR-based permeability model enables assessment of rock permeability in any desired direction. We successfully calibrated and tested the introduced NMR-based...

...Pongsathorn Lerlertpakdee; Behnam Jafarpour; Eduardo Gildin Summary Automating model calibration and production optimization is computationally demanding because of the intensive multiphase-flow-simulation runs that are needed to predict the response of real reservoirs under proposed changes...

...E.. Bhark; A.. Rey; A.. Datta-Gupta; B.. Jafarpour Summary We present the development and field application of a workflow for multiscale reservoir-model calibration that seamlessly integrates production data into the reservoir description from the facies to the grid-cell scale. To start...

... 13 5 2008 31 5 2009 31 3 2007 31 5 2009 Copyright 2009, Society of Petroleum Engineers strategic planning and management risk management log-normal distribution Artificial Intelligence Derivation normal case calibration machine learning asset and portfolio...

...Lin Y. Hu; Sandra Jenni Summary This paper first reviews the basic concepts of the widely used object-based Boolean model for modeling heterogeneous reservoirs. Then, we present a methodology for calibrating Boolean simulations to dynamic production data. This methodology is based...

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