Robust multichannel prestack AVA inversion based on elastic L1/2 norm

Nanying Lan

International Meeting for Applied Geoscience and Energy (IMAGE)

... to solve a Tikhonov regularized least squares problem, which tends to produce an oversmooth solution. This solution can fuzz sharp formation boundaries...

The Shape-Assist Technique: Incorporating Stream Channel Interpretations into Computer-Generated Surface Models: Clark County, Kansas: Chapter 3

John F. Fierstien, Arthur V. Brewster

AAPG Special Volumes

... using a least-squares algorithm. We call this resulting surface our form grid (Figure 3). Note: our digitized contour lines actually bifurcate as our...

Broadband Least-Squares Wave-Equation Migration

Shaoping Lu, Andrew Long, Alejandro Valenciano, Nizar Chemingui

Petroleum Exploration Society of Australia (PESA)

...Broadband Least-Squares Wave-Equation Migration Shaoping Lu, Andrew Long, Alejandro Valenciano, Nizar Chemingui Broadband Least-Squares Wave-Equation...

Stratigraphic Rule-based Reservoir Modeling

Michael J. Pyrcz, Richard P. Sech, Jacob A. Covault, Brian J. Willis, Zoltan Sylvester, Tao Sun

CSPG Bulletin

...: Springer, p. 249. Satija, A. and Caers, J. 2015. Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares...

Quantifying Spacing Degradation in Northern Delaware Basin Using Machine Learning and Subsurface Properties

Charles Connell, Kyle LaMotta, Jizhou Li, Matt Mayer

Unconventional Resources Technology Conference (URTEC)

... spacing. For each cluster, we fit this logarithmic function to the normalized production and distance data using nonlinear least squares optimization...

Predicting S-wave sonic logs using machine learning with conventional logs for the Delaware Basin, Texas

Jaewook Lee, Yangkang Chen, Robin Dommisse, Alexandros Savvaidis, Guo-chin Dino Huang

International Meeting for Applied Geoscience and Energy (IMAGE)

... Wide (1 layer) 9.58 0.75 Kernel Support Vector 12.64 0.56 Machines Kernel Least Squares Kernel 11.92 0.61 hypocentral depth estimation...

Tikhonov Linear Inversion of Gravity Data to Determine 3-D Differential Density Distribution - Case Study of Southeast New Mexico and West Texas

Darren Hart

West Texas Geological Society

...) and Northwest Shelf margin (NwS). To accomplish this goal the Tikhonov regularization, also called damped least squares method (DLSM), inverse method was used...

Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data

Jianlei John Sun, Arvind Battula, Brandon Hruby, Paymon Hossaini

Unconventional Resources Technology Conference (URTEC)

... after the maximum surface pressure. Then, step 2 applied a piecewise linear least squares fit library (Jekel and Venter 2019) with three line segments...

Abstract: Kirchhoff Imaging in a Matrix Form. Part II: Least Squares Migration; #90174 (2014)

Abdolnaser Yousefzadeh and John C. Bancroft

Search and Discovery.com

...Abstract: Kirchhoff Imaging in a Matrix Form. Part II: Least Squares Migration; #90174 (2014) Abdolnaser Yousefzadeh and John C. Bancroft AAPG...

Application of Machine Learning to Predict Cementation Factor along Well Intervals and its Implications for Sand Problem, Study Case: Wanda Complex Field, Indonesia

Aditya Wicaksono, Alfigo Tryozi S. Z., Bhaskara Aji, Leonardus Gilang Ginting P., Arif Yondo

Indonesian Petroleum Association

... Prediction: International Petroleum Technology Conference. Chin, W. W., 1998, The Partial Least Squares Approach to Structural Equation Modeling. Modern...

The Enigma of Oil and Gas Field Growth

Emil D. Attanasi, David H. Root

AAPG Bulletin

.... The resulting unrestricted least-squares growth functions End_Page 322------------------------------ are presented in Figures 1 and 2. Both the oil...

The Effects of Seismic Data Conditioning on Pre-Stack Simultaneous Impedance Inversion

Scott W. Singleton

GCAGS Transactions

... Taner, takes the “statics-based” approach (Taner, 2004). It minimizes a least-squares error in a reflector by determining a local statics shift...

The Optimum Use of Gravity in Exploration

Frederick E. Romberg

GCAGS Transactions

... by a least-squares fit the best set of masses below a given depth which could physically give rise to the broad anomalies. This could be done on a computer...

Premigration attenuation analysis and mapping to image domain by weighted migrations

Yonghe Sun, Chunling Wu, Mark Fan, Zhemin Tan

International Meeting for Applied Geoscience and Energy (IMAGE)

.../𝑄 (𝜃, 𝑧)/𝐼1 (𝜃, 𝑧). = (17) Numerically, however, the denominator 𝐼1 (𝜃, 𝑧) contains values with a mean of zero. A least-squares division and smoothing...

Seismic resolution enhancement with self-supervised learning

Shijun Cheng, Tariq Alkhalifah, Haoran Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... methods, numerous techniques have been developed to enhance seismic resolution. The least squares deconvolution (LSD) stands out as one of the most...

Abstract: A Joint LSPSM/Inversion Algorithm for High Resolution Time Lapse Imaging; #90187 (2014)

Abdolnaser Yousefzadeh and John C. Bancroft

Search and Discovery.com

... to the production or injection of fluids. A joint least squares Kirchhoff prestack migration (LSPSM) of both baseline and monitor data is introduced which attenuates...

Abstract: Efficient Sampling of 3-D Basin Modelling Scenarios, by S. B. Nielsen and K. Gallagher; #90923 (1999)

Search and Discovery.com

Recent Advances and Experiences in Subsalt Seismic Imaging

Search and Discovery.com

Abstract: Automatic Velocity Model Building Using Waveform Inversion and Least Squares Reverse Time Migration; #90319 (2018)

Young Seo Kim, Ali Almomin, Yimin Sun, Woodon Jeong, Yi Luo

Search and Discovery.com

...Abstract: Automatic Velocity Model Building Using Waveform Inversion and Least Squares Reverse Time Migration; #90319 (2018) Young Seo Kim, Ali...

Demonstration and Quantification with Raman Spectroscopy of the Displacement of Adsorbed Methane from Coal by Injected Dissolved Carbon Dioxide for Carbon Sequestration

Grant A. Myers, Trevor Brown, Cody Morgan, Wade A. Bard, John M. Pope

Unconventional Resources Technology Conference (URTEC)

... mixtures, the technique of whole-spectrum Classical Least Squares analysis (Mark, 2010) was used to deconvolute complex overlapping spectrum components...

Determination of Paleoheat Flux from Vitrinite Reflectance Data

I. Lerche , R. F. Yarzab , C. G. St. C. Kendall

AAPG Bulletin

... this highly nonlinear least-squares problem involved a steepest descent technique in a five-dimensional parameter space: TA, TD, and three coefficients for Q...

Reducing seismic quantitative interpretation uncertainty in complex geological environments: A case study from offshore Australia

Andrea Paxton, Lianping Zhang, Abdul Kholiq, Lee Davey, Richard Bisley, Dominic Fell, Leo Leon, James Shadlow

International Meeting for Applied Geoscience and Energy (IMAGE)

...-stack DDI in this workflow uses least-squares migration in the image domain to invert seismic data using a gradient-based optimized (GBO) algorithm...

Colour Image Transformations of Wireline Logs as a Medium for Sedimentary Profile Analysis

D.R. Collins, J.H. Doveton

CSPG Bulletin

..., A. and Golay, M.J.E. 1964. Smoothing and differentiation of data by simplified least-squares procedures. Analytical Chemistry, v. 36, no. 8, p. 1627-1639...

Computer Mapping: A Review of What is Available and What is Useful for Exploration Purposes

Nigel M. Waters

CSPG Bulletin

... to isolate the regional pattern from the local variations in a spatial data set. The two most common methods involve either the least-squares fitting...

Empirical Relation Between Carbonate Porosity and Thermal Maturity: An Approach to Regional Porosity Prediction: DISCUSSION

Alton Brown

AAPG Bulletin

... of hydrocarbon reservoirs at all but shallowest depths. Dashed line is least squares fit of all reservoir porosities against depth (Table 1). Dotted lines...