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The AAPG/Datapages Combined Publications Database

Showing 2,053 Results. Searched 200,693 documents.

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Multi-Modal Neural Network for Porosity and Permeability Estimation in Tight Gas Reservoirs: A Case Study in the Ordos Basin, China

Shengjuan Cai, Yitian Xiao, Han Wang, Feifei Gou, Hanqing Wang, Yujie Zhou, Tianrui Ye

Unconventional Resources Technology Conference (URTEC)

... capture the rapid variations and nonlinear relationships among them. This study develops a multi-modal neural network that integrates well logs, core...

2025

Settling Velocity, Diameter, and Density for Flocs of Illite, Kaolinite, and Montmorillonite

Ronald J. Gibbs

Journal of Sedimentary Research (SEPM)

... nonlinear trends. The equations for these curves, relating the settling velocities and floc diameter, are illite V = 0.95 D0.645...

1985

Compaction Curves

Brewster Baldwin , Crispin O. Butler

AAPG Bulletin

... is nonlinear (Shinn and Robbin, 1983) (Figure 1). Also, equations using solidity are usually simpler than those using porosity (Baldwin, 1971; Shinn...

1985

Determination of Lithology from Well Logs Using a Neural Network (1)

SAMUEL J. ROGERS , J. H. FANG , C. L. KARR , and D. A. STANLEY

AAPG Bulletin

... by multiplying each incoming signal by a weight and then summing the weighted inputs. Thus, the network is a nonlinear system which transforms...

1992

Distribution of porosity and permeability in platform dolomites: Insight from the Permian of west Texas (Discussion & Reply)

Discussion: David W. Morrow ; Reply: Arthur H. Saller, Nuel Henderson

AAPG Bulletin

..., following Sun (1992), is that nonlinear changes in mineral saturation states during mixing of evaporative brines and normal seawater may cause dolomitization...

2001

Abstract: Empirical Mode Decomposition Based Instantaneous Spectral Analysis and its Applications to Heterogeneous Petrophysical Model Construction; #90171 (2013)

Jun-Wei Huang and Bernd Milkereit

Search and Discovery.com

... Transform (HHT) based on Empirical Mode Decomposition (EMD) that was initially developed to analyze nonlinear and non-stationary water waves. The advantage...

2013

Abstract: Inexact Full Newton Method for Full Waveform Inversion Using Simultaneous Encoded Sources; #90187 (2014)

Amsalu Y. Anagaw and Mauricio D. Sacchi

Search and Discovery.com

... data, gradient based optimization methods such as steepest-descent and nonlinear conjugate gradients or Newtonian methods such as L-BFGS, Gauss-Newton...

2014

Abstract: Seismic Data Decomposition into Spectral Components Using Regularized Nonstationary Autoregression; #90187 (2014)

Sergey Fomel

Search and Discovery.com

...: Applied and Computational Harmonic Analysis, 30, 243–261. Daubechies, I., and S. Maes, 1996, A nonlinear squeezing of the continuous wavelet transform...

2014

Abstract: A Ray+Waveform Inversion for the Potency Tensor; #90187 (2014)

Scott Leaney and Chris Chapman

Search and Discovery.com

...se problem linear we presently consider an inversion for the potency tensor source described by equation 2. A hybrid linear+nonlinear inversion for pote...

2014

Abstract: To TTI or not to TTI? Semi-Automated 3D Tomographic Velocity Analysis in the Canadian Foothills: A Case History; #90211 (2015)

Sylvestre Charles, David Mitchell, Rob Holt, Jiwu Lin, and John Mathewson

Search and Discovery.com

... velocity layer needs to be constrained to avoid being altered at each nonlinear iteration. To avoid these issues, we applied a vertical correction...

2015

Abstract: Interpolation Artifacts and Bidimensional Ensemble Empirical Mode Decomposition; #90224 (2015)

Jiajun Han and Mirko van der Baan

Search and Discovery.com

... technique for non-stationary and nonlinear systems. EMD decomposes a signal into a sum of intrinsic oscillatory components, called Intrinsic Mode Functions...

2015

Abstract: Implementation of Classical and Advanced Geophysical Techniques to Evaluate the Gas Potentialities in West Abu Dhabi, UAE; #91204 (2023)

M. Alqaydi, M.A. Alaraby, H. Al Marzooqi, A.D. Alharthi, Muhammad Zeeshan Baig

Search and Discovery.com

.../10.2110/pec.00.69.0249. Bachrach, R., 2018, Nonlinear Single Loop Litho-Petro-Elastic Prestack Inversion Using Data Assimilation Techniques,80th EAGE Conference...

2023

A Novel Method of Automatic Training Data Selection for Estimating Missing Well Log Zone Using Neural Networks; #41055 (2012)

Yingwei Yu, Douglas Seyler, Michael D. McCormack

Search and Discovery.com

... curve is useful to the prediction of the target curve; then it either has a strong linear relationship or nonlinear relationship with the target curve...

2012

The Application of Semi-supervised Geobody Detection Technique using Multiple Seismic Attributes in Petroleum Exploration; #41165 (2013)

Lei Li, Xianhua Ran, Chunfeng Tao, Zhonghong Wan, and Shifan Zhan

Search and Discovery.com

... and identification of reservoir facies from seismic data. The approach, as a nonlinear and completely data-driven method, requires no accurate initial...

2013

Mineral-Chemistry Quantification and Petrophysical Calibration for Multi-Mineral Evaluations; #41754 (2015)

Paul N. Theologou, Douglas McCarty, Timothy Fischer, Arkadiusz Derkowski, Rebecca Stokes, Ann Ollila

Search and Discovery.com

... such as XRD and FT-IR. BestRock is a nonlinear optimization model that combines multiple core measurements from a geochemically uniform section to produce...

2015

Magnetic Bright Spots Can Identify the Most Prospective Deep-Water Areas and Prospects; #41871 (2016)

Robert S. Foote, Dietmar Schumacher

Search and Discovery.com

...) possible. After receiving a quality inspection and fine nonlinear smoothing, aeromagnetic data are analyzed for anomalous waveforms. The total field...

2016

Feasibility of Moment Tensor Inversion From a Single Borehole Data Using Artificial Neural Networks; #42212 (2018)

Oleg Ovcharenko, Jubran Akram, Daniel Peter

Search and Discovery.com

... a single vertical well. For this purpose, we solve a nonlinear regression problem using a feed-forward artificial neural network (ANN). We use a synthetic...

2018

Concluding Remarks - Application of Resistivity-Tool-Response Modeling for Formation Evaluation - Archie Series No. 2

Hezhu Yin

AAPG Special Volumes

.... The effect of dip on ILD response is a nonlinear function of bed thickness and resistivity contrast between the formation and shoulder beds. Because...

2011

Multi-Scale Assessment of Plasticity of Organic-Rich Shale: from Core Scale to Mineral Scale

Mao Sheng, Shizhong Cheng, Zhaohui Lu, Ye Zhang, Shouceng Tian

Unconventional Resources Technology Conference (URTEC)

... will not be destroyed. For the BC segment, the stress-strain relation begins to be nonlinear. When a complete unloading is conducted at the peak stress (Point C...

2019

Application of Physics Informed Neural Networks to Compositional Modelling

Thelma Anizia Ihunde, Olufemi Olorode

Unconventional Resources Technology Conference (URTEC)

... of observations. Deep Neural Networks (DNN) A neural network is a nonparametric machine learning model that can be trained on any nonlinear data...

2021

Planimetric Equation

C. Warren Hunt

CSPG Bulletin

... or thinning nonlinear between profile extremities (indeterminable), (b) observational error in field or office work (about 2 per cent), (c) differential...

1957

Combined Application of Unsupervised and Deep Learning in Absolute Open Flow Potential Prediction: A Case Study of the Weiyuan Shale Gas Reservoir

Lian Wang, Yuedong Yao, Kongjie Wang, Caspar Daniel Adenutsi, Guoxiang Zhao

Unconventional Resources Technology Conference (URTEC)

... of relevant geological and engineering factors and the RBFN model for nonlinear regression and prediction of the AOFP based on collected field data...

2021

Seismological Methods and the Search for Geothermal Resources

David Butler, Paul Larry Brown

Rocky Mountain Association of Geologists

..., both velocities and attenuation for the two modes of propagation can be calculated. If both P-wave and S-wave delay are calculated, a nonlinear...

1977

Shale Gas: A Commercially Viable Alternative?

EPI Ltd

GEO ExPro Magazine

... the deep targets ii. Optimal spatial sampling iii. Sweep type (linear vs. nonlinear), usable bandwidth iv. Characterize in-line and cross-line...

2014

Comparison of conventional lithofacies estimation and litho-petro-elastic inversion (LPE) in shallow offshore Mexico

Michelle Ellis, Charles Inyang, Carlos Alberto Montilla Nava, Janet Ravelo Cervantes, Doan Saavedra Castaeda, Jos Bernardo Vsquez Guerrero

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Nonlinear single loop litho-petro-elastic prestack inversion using data assimilation techniques: 80th Annual International Conference and Exhibition...

2022

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