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The AAPG/Datapages Combined Publications Database

Showing 1,682 Results. Searched 200,693 documents.

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Data Analytics for Production Optimization in Unconventional Reservoirs

Srikanta Mishra, Jared Schuetter, Ming Zhong, Randy Lafollette

Unconventional Resources Technology Conference (URTEC)

... in Table 3. Table 2. Several Regression Modeling Options Model Ordinary Least Squares (OLS) Regression Random Forest (RF) Gradient Boosting Machine (GBM...

2015

Abstract: Predicting Free Surface Multiples without the Water: SRME on Land; #90224 (2015)

Keith Wilkinson, Richard Bale, and Ken Gray

Search and Discovery.com

... in this paper 5. Least squares adaptive subtraction of predicted multiple Datapages/Search and Discovery Article #90224 GeoConvention © 2014, FOCUS - Adapt...

2015

Traveltime tomography and efficient physics-informed Bayesian inversion

Tian Qiao, George Turkiyah, Gerard T. Schuster

International Meeting for Applied Geoscience and Energy (IMAGE)

... after a linear moveout correction, and c) velocity profile (dark solid lines) estimated by damped least squares inversion. The width of the gray zone...

2022

Leveraging legacy data: An onshore reprocessing case study from eastern Australia

Bahaa Soliman, Catalina L. Ocampo, Oscar Garcia, Andy Walz, Anthony Goodall, Emily Guidry

International Meeting for Applied Geoscience and Energy (IMAGE)

... models for each user-specified interpreted generator to adaptively filter and subtract them from the input seismic using least squares simultaneous...

2022

Combining Seismic Inversion and Geostatistics to Predict Reservoir Properties; #42294 (2018)

Dragos Cristea

Search and Discovery.com

..., the underlying geology which gave that particular seismic Fig.1. The regression line is the least-squares fit between response. porosity and impedance...

2018

Least-squares RTM with shifted total variation regularization for depth imaging of sparse short-offset seismic data

Toktam Zand, Andrzej Gorszczyk, Ali Gholami, Hasan Ghasemzadeh, Alison Malcolm

International Meeting for Applied Geoscience and Energy (IMAGE)

...Least-squares RTM with shifted total variation regularization for depth imaging of sparse short-offset seismic data Toktam Zand, Andrzej Gorszczyk...

2022

Elastic FWI for large impedance contrasts

Zedong Wu, Zhiyuan Wei, Zhigang Zhang, Jiawei Mei, Rongxin Huang, Ping Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

..., including transmission waves, primary reflections, and their multiples, we propose FWI Imaging to realize full-wavefield imaging through least-squares...

2022

Time-domain extended-source full-waveform inversion for acoustic vertically transversely isotropic media: Theory and numerical validation

Gaoshan Guo, Stephane Operto, Hossein S. Aghamiry

International Meeting for Applied Geoscience and Energy (IMAGE)

... by fitting the measured scattered data (the data residuals) in a least-squares sense. Then they are used to approximate the missing scattered wavefield...

2023

Beyond chi-squared: Additional measures of the closeness of a model to data1

Alan G. Jones

Petroleum Exploration Society of Australia (PESA)

...al correlation in least squares regression .1, Biometrika, 37(3-4), 409-428. Durbin, J., and G. S. Watson (1951), Testing for serial correlation in lea...

2019

Using and Improving Surface Models Built by Computer: Part 8. Integrated Computer Methods

David E. Hamilton

AAPG Special Volumes

... that are not supported by data. That is, the structures are by-products of the surface-modeling algorithm. Filters such as least squares, biharmonic...

1992

Oceanographic Currents and the Convexity of the Uppermost Continental Slope

Neil C. Mitchell, John M. Huthnance

Journal of Sedimentary Research (SEPM)

... represent average Q for given gradient groupings (plus and gray-filled symbols only). The oblique lines are least-squares regressions of Q on gradient...

2008

An Economic Analysis of the Oil and Gas Resources in the Clinton Formation of Ohio

J. T. CumberlidgeW. D. McCullough

Ohio Geological Society

... curve using least squares regression. In those areas where less than ten years of production data were available...

1985

Tomography Techniques Applied to Near Surface Velocity Models in Complex Areas of Colombia

Jorge Monsegny, Saúl Guevara

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... methods, like Least Squares, Conjugate Gradients and Downhill Simplex methods, among others. The specific non-linear technique used in this work, based...

2008

Hybridised Weighted Boot-Strap Differential Semblance

Hamish Wilson, Lutz Gross

Petroleum Exploration Society of Australia (PESA)

...; Fomel, 2007b; Liu et al., 2014; Chen et al., 2015) in which we obtain the local similarity through solving a least-squares problem with shaping...

2016

Introduction to Contouring Geological Data with a Computer: Part 8. Integrated Computer Methods

J. L. Gevirtz

AAPG Special Volumes

... that are taken in groups of three and fitted exactly to a plane using a least squares or bicubic spline methods. The grid node estimate is obtained by averaging...

1992

Abstract: Case Study- High Resolution Velocity Model Building to Improve Carbonate Reefs Image in Tz Area; #91204 (2023)

Hongjun Zhang, Yang Chen, Zhengzheng Zhou, Xiang Li, Hotma Yusuf, Haryono Haryanto, Farid Dasa Marianto

Search and Discovery.com

... modeled seismic data to recorded field data. The matching is quantified by the residuals of a least-squares misfit function, and the model update...

2023

Robust joint inversion and segmentation of 4D seismic data

Juan Romero, Matteo Ravasi, Nick Luiken

International Meeting for Applied Geoscience and Energy (IMAGE)

... (Sarkar et al., 2003). Starting from commonly used regularized least-squares (LS) inversion (aka Bayesian inversion with Gaussian priors and noise – Buland...

2022

Decline Curve Analysis in Vaca Muerta with Choke Size Normalization of Gas Rates

Mohamed Bennis, Juan Gellert, Martín Nougués, Pablo Crespo

Unconventional Resources Technology Conference (URTEC)

... pressure, and choke sizes from multiple oil- and gas-producing wells in Vaca Muerta. Assuming A3 equal to 1.9, we applied a least-squares non-linear...

2020

Using Fluid-Induced Microseismics to Image Permeability

Andrew King, Tobias Müller

Unconventional Resources Technology Conference (URTEC)

... consisting of a least-squares fit to the pressure or virtual pressure observations along with any prior information we have. (In the examples shown...

2016

Correlation of Organic Parameters Derived from Elemental Analysis and Programmed Pyrolysis of Kerogen

Laura J. Crossey, E. Sven Hagen, Ronald C. Surdam, Thomas W. Lapoint

Special Publications of SEPM

... include: SI, Sz, HI, elemental H/C and O/C, and PI. Statistical procedures using least squares regression allowed us to determine the form...

1986

Circum-Arctic Petroleum Systems Defined Using Biomarkers, Isotopes, and Chemometrics, #30146 (2011)

Kenneth Peters, Scott L. Ramos, John Zumberge

Search and Discovery.com

... to the giant Prudhoe Bay Field. Alternating least squares of concentration data (ALS-C) for Copyright © AAPG. Serial rights given by author. For all other...

2011

Stratigraphic Controls on Reservoir Strata: A Comparison of Fluvial and Tidal Reservoirs in the Almond Formation, Coal Gulch, Wamsutter, Echo Springs and Table Rock Fields, Washakie Basin, Wyoming

B. W. Horn, T. A. Cross, J. A. Hornbeck, M. Vielma, M. Zavala

Wyoming Geological Association

... of potential reservoir targets. One useful method is a partial least squares regression (PLS) algorithm that examines multiple seismic attributes...

2001

Deep Learning for Quantitative Hydraulic Fracture Profiling from Fiber Optic Measurements

Weichang Li, Han Lu, Yuchen Jin, Frode Hveding

Unconventional Resources Technology Conference (URTEC)

... least squares (OLS) regression and robust version, least absolute deviation (LAD) regression have been applied in (Park et al. 2018) to convert...

2021

Merging Physics and Data-Driven Methods for Field-Wide Bottomhole Pressure Estimation in Unconventional Wells

Diego Molinari, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

... models with no physics – namely, ordinary least squares (OLS) regression, lasso regression, and support vector regression. Polynomial features...

2021

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