Abstract: Optimization of SAGD Process Accounting for Geological Uncertainties Using proxy Models; #90187(2014)

Eugene Fedutenko, Chaodong Yang, Colin Card, and Long Nghiem

Search and Discovery.com

... terms; and aij are the coefficients of cross (interaction) terms. The coefficients are typically estimated by the least squares fitting of the model...

Introduction to Nonlinear Models

Gerard V. Middleton and David M. Rubin

Special Publications of SEPM

... might be determined for a particular river by a least squares technique. e is "error", or natural variation caused by deterministic or stochastic...

Steps for Improving the Utility of Land Seismic Data for Unconventional Reservoirs

Christof Stork

Unconventional Resources Technology Conference (URTEC)

... (2006): V41V49. Herrmann, F. J., and Li, X., 2012, Efficient least-squares imaging with sparsity promotion and compressive sensing: Geophysical...

Hindcasting Production in Four Shale Gas Basins Using a Physics-based Approach

Frank Male

Unconventional Resources Technology Conference (URTEC)

...ry over time is fit to this curve to determine the proper scaling to explain its production history. A least squares minimization algorithm is used ...

Statistical Analysis of Fractures from the Hydraulic Fracture Test Site 1

Frank Male, Bethany Rysak, Robin Dommisse

Unconventional Resources Technology Conference (URTEC)

... distributions with the NoU-Turn Sampler. This software allows us to build generalized linear models such as ordinary least squares, Poisson, and logistic...

Application of Unsupervised-Manifold-Learning for Productivity Driver Evaluation and Production Forecasting in Unconventional Oil Reservoirs

Yang Gao, Yuewei Pan, Jianhua Qin, Enbo Qiu, Wei Ma, Ran Bi

Unconventional Resources Technology Conference (URTEC)

... et al. 2018; Pan et al. 2019a, 2019b and 2021). A notable work presented by Qiao et al. (2017) utilizes least squares support vector machine coupled...

Multi-regression Modeling Approach for Choke Performance and Production Analysis

Mario Vicente, Raúl Belkenoff

Unconventional Resources Technology Conference (URTEC)

... to work on the βs coefficients determination is the Ordinary Least Squares (OLS). Defining S as the summation of error squares for n observations: n...

Averaging Predictions of Rate-Time Models Using Bayesian Leave-Future-Out Cross-Validation and the Bayesian Bootstrap in Probabilistic Unconventional Production Forecasting

Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh

Unconventional Resources Technology Conference (URTEC)

... of production of all wells (violet dashed line), the average least-squares estimate, and the average P10 (red line), P50 (green line), and P90 (yellow line...

Porosity--Depth Trends in Deeply Buried Upper Jurassic Reservoirs in the Norwegian Central Graben: An Example of Porosity Preservation Beneath the Normal Economic Basement by Grain-Coating Microquartz

Mogens Ramm,, Arne W. Forsberg, Jens S. Jahren

AAPG Special Volumes

...------------------------ high gamma-ray signals and poor reservoir quality at all depths (Table 1). Least-squares regression lines based on the porosity vs. depth...

Fault Interpretation During Seismic Interpretation and Reservoir Evaluation: Fractured Reservoirs: Origin, Description, Evaluation

M. E. Badley, B. Freeman, A. M. Roberts, J. S. Thatcher, J. Walsh, J. Watterson, G. Yielding

AAPG Special Volumes

... are determined by least-squares regression to all data-points above the effective limit of seismic resolution. The spatial variation in slopes can...

Estimating Thermal Conductivity in Sedimentary Basins Using Lithologic Data and Geophysical Well Logs (1)

FREDERIC BRIGAUD , DAVID S. CHAPMAN , and SYLVIE LE DOUARAN

AAPG Bulletin

... to various compositions. Using logarithms of conductivities, equation 7 becomes linear and least squares algorithms may be used. Table 2 lists the thermal...

Application of seismic curvature attributes in the delineation of coal texture and deformation in Zhengzhuang field, southern Qinshui Basin

Lutong Cao, Yanbin Yao, Dameng Liu, Yanhui Yang, Yingjin Wang, and Yidong Cai

AAPG Bulletin

...., D. Liu, Y. Yao, J. Li, and Y. Qiu, 2011, Geological controls on prediction of coalbed methane of No. 3 coal seam in Southern Qinshui Basin, North...

AAPG 2016 International Conference and Exhibition

Search and Discovery.com

Using delta channel width to estimate paleodischarge in the rock record: geometric scaling and practical sampling criteria

Octria Adi Prasojo, Anna E. van Yperen, Trevor B. Hoey, Amanda Owen, Richard Williams

Journal of Sedimentary Research (SEPM)

... using log-log ordinary least squares (OLS) regression. This scaling does not allow calculation of the discharge or paleodischarge for a single...

Analysis of Temperatures and Thermal Processes in the Uinta Basin

Sean D. Willett, David S. Chapman

CSPG Special Publications

... by the A.A.P.G. (A.A.P.G. 1976) in which a correction, Tc, is given as a fourth-order polynomial in depth, z Fitting this polynomial in a least squares sense...

Assisted History Matching using Bayesian Inference: Application to Multi-Well Simulation of a Huff-n-Puff Pilot Test in the Permian Basin

Esmail Eltahan, Reza Ganjdanesh, Wei Yu, Kamy Sepehrnoori, Hunter Drozd, Raymond Ambrose,

Unconventional Resources Technology Conference (URTEC)

... constant, 𝑝𝑝(𝜃𝜃) is the prior PDF, and 𝐹𝐹(𝜃𝜃) is the objective function, may be defined by the simplified least-squares form...

Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells

Mei Han, Paul Nguyen, Markus Emsermann, Cyd Ruidiaz-Santiago, Xueying Xie, Soodabeh Esmaili, Osama Raba

Unconventional Resources Technology Conference (URTEC)

... of least squares, whereby it minimizes the sum of the differences between the observed (actual monthly) production value and the fitted value provided...

Trishear Kinematic Modeling of Structures, with Examples from the Neuqun Basin, Argentina

Richard W. Allmendinger, Toms Zapata, Ren Manceda, Francisco Dzelalija

AAPG Special Volumes

... of fit of each unique combination of parameters is evaluated by simple least squares linear regression, using χ2 as a statistic. The combination...

Isotope Geochemistry of Minerals in Australian Bituminous Coal

R. W. Botz , J. W. Hunt, J. W. Smith

Journal of Sedimentary Research (SEPM)

... by a "least-squares" fit to the existing data and represents the relative changes in total 18O value which would accompany the mixing of primary kaolinite...

Compressibility of Sandstones at Low to Moderate Pressures

I. Fatt

AAPG Bulletin

... lines, plotted as a function of reciprocal pressure. The line fitted by least squares to these data can be extrapolated to give 0.18 × 10-6 psi-1...

Permeability loss with depth in the Cenozoic carbonate platform of west-central Florida

David A. Budd

AAPG Bulletin

... permeabilities (69, 129, 181, and 418 md, respectively) and a systematic reduction with depth in their mean and maximum permeabilities. Least-squares...

A Bayesian Framework for Addressing the Uncertainty in Production Forecasts of Tight Oil Reservoirs Using a Physics-Based Two-Phase Flow Model

Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh

Unconventional Resources Technology Conference (URTEC)

...on. Prior distributions for ln 𝑉𝑉𝑝𝑝 and ln 𝜏𝜏 𝑖𝑖 are best-fit distributions to the empirical histograms of 𝑖𝑖 least-squares optimization of...

Chapter 13: The Zama Discovery in Salina del Istmo Basin, Offshore Tabasco: “A New Dawn” for Offshore Mexico Exploration

David Kosmitis, John Parker, Michael Albertson, Alex Obvintsev, David Tett, James Pasley, Matthew Carr

AAPG Special Volumes

... the Zama-1SON well was drilled, ION reprocessed the data again using a higher frequency of 60 Hz and a least-squares RTM. ION also output RTM surface-offset...

GEO 2018; - Abstracts, #90319 (2018).

Search and Discovery.com

Geostatistical Modeling of the Spaces of Local, Spatial, and Response Uncertainty for Continuous Petrophysical Properties

P. Goovaerts

AAPG Special Volumes

... otherwise. Conditional cumulative distribution function values can thus be estimated by least-squares (kriging) interpolation of indicator transforms...