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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Developing Petroleum Maps for the Future

L. Harold Spradley

Houston Geological Society Bulletin

... with the ground truth survey coordinates, the particular area proves to contain nonlinear errors, then more survey points may be required. Although one...

FRONTMATTER: Investigations of the Northern Melanesian Borderland

Circum Pacific Council Publications

...; the colors represent a nonlinear contouring scheme symmetri­ cally disposed about the 0 mgal level. Shading has been added to simulate the illumination...

Technology

Hidekazu Yoshida, Jeremy O’Brien

GEO ExPro Magazine

... variables to discover complex and nonlinear relationships that a geoscientist may not. PICTURE: SEEQUENT TIME-EFFICIENT: Can generate complex shapes...