Multi-conditional seismic velocity synthesis using an autoregressive transformer network

Randy Harsuko, Shijun Cheng, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

... in a generative model. These stored velocity model distributions can be utilized to regularize inverse problems, like full waveform inversion. However, most...

Abstract: Real-time Bit Wear Prediction and Deployment Validation in Challenging Hard and Heterogeneous Sandstones using 3D Detailed and Simplified Physics-Based Progressive Wear Models; #91204 (2023)

Guodong (David) Zhan, William B. Contreras Otalvora, Xu Huang, Reed Spencer, John Bomidi

Search and Discovery.com

... formulas based on decades of drilling mechanics research are implemented. The detailed physics-based model was used in the design workflow to simulate...

Predicting Coiled-Tubing Drilling Dynamics Using Transformers

Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, Jiefu Chen

Unconventional Resources Technology Conference (URTEC)

... tailored for CTD drilling time series data. This model leverages its ability to learn long-term dependencies and subtle patterns within the data...

Machine-Learning Driven Prediction of Geological Marker Signatures

Shashin Sharan, Kaustubh Shrivastava, Per Irgens, Tatjana Scherschel

Unconventional Resources Technology Conference (URTEC)

... to predict markers. The procedure involves three steps: data conditioning, feature extraction, and model training. Initially, log data is preprocessed...

Subsurface hydrogen storage: A feasibility study

Dwaipayan Chakraborty, Subhashis Mallick, Mortezaa Dejam

International Meeting for Applied Geoscience and Energy (IMAGE)

... models. The original model before H2 replacement is in cyan, the model after replacement is in black and the inverted model is in red. (b) observed...

Adapting Music Recognition Technology for Tops Picking and Quality Control

Alan Lindsey, Morgan Cox, Aaron Hugen

Unconventional Resources Technology Conference (URTEC)

... stratigraphy due to either faulting or unconformities. This can lead to false positive marker identifications. Convolutional Neural Networks (CNNs) CNNs...

Improving subsalt imaging using mode-converted waves and volumetric coherent noise attenuation in southern Gulf of Mexico

Riaz Alai, Nik Nur Halim C. Soh, M Shah B. Sulaiman, M. Iqbal Supardy, Kien Kok Lee, Sandeep Kumar, Syazwani Bt Suhairi, Christian Brinzer, Frederico Xavier de Melo, Hongyan Li, Iestyn Williams, Hugo Enrique Munoz Cuenca, Nolan Brand, Kate Glaccum, George Zhao, Saeeda Hydal, Khaled Abdelaziz, Emmi Sanchez Vargas

International Meeting for Applied Geoscience and Energy (IMAGE)

... originating from the base of salt bodies. All models are derived from convolutional-based (surface multiples), dip guided selective stacking...

Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling

Wen Pan, Honggeun Jo, Javier E. Santos, Carlos Torres-Verdín, and Michael J. Pyrcz

AAPG Bulletin

... a diverse ensemble of conditional, multiscale, architectural and petrophysical, property model realizations reproducing the patterns. We demonstrate...

Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example

Altay Sansal, Muhlis Unaldi, Edward Tian, Gareth Taylor

Unconventional Resources Technology Conference (URTEC)

...Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example Altay Sansal, Muhlis Unaldi, Edward Tian...

Estimation of TOC and Brittleness Volumes and Correlation with Reservoir Production

Sumit Verma, Tao Zhao, Kurt J. Marfurt, Deepak Devegowda, Dario Grana

Unconventional Resources Technology Conference (URTEC)

... criteria for step-wise multilinear regression for including well logs in the regression model (Hampson et al., 2001). Validation correlation...

Late Devonian Glacially-Influenced Marine Sedimentation in Western Gondwana: The Cumana Formation, Altiplano, Bolivia

Enrique Diaz Martinez, Peter E. Isaacson

CSPG Special Publications

... 1985. Pebble fabric in an ice-rafted diamicton. Journal of Geology, v. 93, p. 577-592. Dowdeswell, J.A. 1988. A model for iceberg sedimentation...

2019 AAPG Annual Convention and Exhibition

Search and Discovery.com

Enabling grassroots digital transformation with a Python-Excel ML toolkit

Andrew C. Silver

International Meeting for Applied Geoscience and Energy (IMAGE)

... prior to doing it (see Figure 1; Pfeffer and Sutton, 2000; Silver, 2022). For knowledge workers who primarily serve as domain experts in geoscience...

Wave-equation based inversion for carbonate reservoir characterization in Kuwait

Rao Narhari, Ahmad Al-Sabari, Afrah Al-Ajmi, Justin Ugbo, Jeremy Harris, Gerard Soto, Panos Doulgeris

International Meeting for Applied Geoscience and Energy (IMAGE)

... on the convolutional model synthetic compared to the seismic gather. This is because transmission is neglected in this type of modelling and in some cases...

AVA on communication cables: Principles and Examples from the North Sea

Ran Bachrach, Ali Sayed, Andrea Murineddu, Pilar Di Martino

International Meeting for Applied Geoscience and Energy (IMAGE)

... by conventional seismic acquisition. DAS sensor response has characteristic effects on the amplitude and frequency of the recorded wavefield (Sayed et al...

A denoising diffusion probabilistic modeling (DDPM) approach for predicting CO2 plume evolution from seismic shot gathers

Alexander Y. Sun, Zi Xian Leong, Tieyuan Zhu

International Meeting for Applied Geoscience and Energy (IMAGE)

... variational autoencoder and GAN, DDPM is likelihood based. Thus, a trained DDPM model can be used to sample the marginal distributions of target domain...

Neural network assisted responses simulation and data correction of array laterolog in invaded formations

Yueyang Han, Lei Wang, Donghan Hao, Xiyong Yuan, Nan Wang, Zhen Yang, Jianwen Zhou, Liwei Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... correction method for array laterolog in invaded formations. First, a three layered cylindrically layered model, which takes into account borehole...

Kerogen-Bitumen-Porosity Nexus: Insights from Multi-Basinal Collocated SEM-Optical Light Petrography

Shaina Kelly, Michelle Johnston, Bernard Lee, Richard San Martin

Unconventional Resources Technology Conference (URTEC)

... SEM stub which is then ready for Broad ION Beam milling (Fischione Model 1060 dual beam system) for a minimum of 3 hours to get past most plucks...

A practical approach to automate end-to-end multi-stage iterative source separation with prior framework using machine learning

Rajiv Kumar, Yousif Izzeldin Kamil Amin, Riccardo Giro, Sunil Manikani, Nam Pham, Massimiliano Vassallo, Phillip Bilsby, Tao Zhao

International Meeting for Applied Geoscience and Energy (IMAGE)

... relies on the fact that the seismic signal of interest exhibits higher coherency and is sparse in the transform domain, whereas the interference noise...

2023 Middle East Oil, Gas and Geosciences Show ; - Abstracts, #91204 (2023).

Search and Discovery.com

Pushing the envelope of seismic stratigraphic interpretation: a case-study from the Mannville Group using small 3-D surveys

M. Smaili, B.S. Hart

CSPG Bulletin

..., we used model-based inversion (e.g. Veeken and Da Silva, 2004) to convert the 3-D seismic volumes to acoustic impedance2. This approach integrates...

Optimal control of geological carbon storage using multi-physical monitoring and deep reinforcement learning

Kyubo Noh, Andrei Swidinsky

International Meeting for Applied Geoscience and Energy (IMAGE)

... constant injection strategies, especially given uncertainty in the permeability model; 2) a multi-physical monitoring approach enhances this policy...

GAN based data enhancement for first arrival picking on both onshore and offshore seismic data

Ding Jicai, Wei Yanwen, Wang Yichuan, Sun Wenbo, Wang Jianhua

International Meeting for Applied Geoscience and Energy (IMAGE)

... be studied from three perspectives: data, models, and algorithms (Wang et al., 2020; Ding et al., 2024). Among the three perspectives of data, model...

Revisiting Brown Fields: A lookback on unforeseen opportunities in a late life field

Hifzhul ‘Arif Ahmad Munif, Ismail Marzuki Gazali, Hairul Hafez Abu Bakar, Alfian Termizi, Wan Mohd Nazrullah Mohamed Zin, Nur Syakirah Muhammad Yusoff, Zainal Arifin Suwito, Chin Tee Ang

International Meeting for Applied Geoscience and Energy (IMAGE)

... a major challenge back then due to the mismatch between the results from the Dynamic Model versus the actual well result, leading to 2 wells being...

NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality and deliverability in the Gulf of Mexico

Peter Lanzarone, Shenghui Li, Kang Fu, Kenny Gullette, Jeff Thompson, Gabriel Ritter

International Meeting for Applied Geoscience and Energy (IMAGE)

... mute, RMO correction, trim statics, structural conformable filtering (SCF), inverse Q, and frequency spectral angle balancing. The resulting gathers...