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...

Deep nonlinear seismic prior for seismic interpolation

Yuhan Sui, Xiaojing Wang, Jianwei Ma

International Meeting for Applied Geoscience and Energy (IMAGE)

... show their powerful performance on seismic interpolation using a convolutional neural network. Recently, an unsupervised deep seismic prior method...

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)

... for seismic inversion of CO2 saturation. Specifically, the denoising diffusion probabilistic model (DDPM), which is a type of probabilistic deep...

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification

Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

International Meeting for Applied Geoscience and Energy (IMAGE)

... in the background squared-slowness model. Uncertainty quantification is essential for determining how variability in the background models affects seismic...

Pyseis: A high-performance, user-friendly Python package for GPU-accelerated seismic modeling and subsurface imaging

Stuart Farris, Guillaume Barnier, Ettore Biondi, Robert Clapp

International Meeting for Applied Geoscience and Energy (IMAGE)

..., from elastic FWI and FWI by Model Extension to machine learning applications in seismic inversion. pyseis serves as a versatile and efficient tool...

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...

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)

...ization of MS-ISSP, we design a deep convolutional neural network, which has multiple heads (hence the name Kerberos ISSP net) to perform multipl...

Understanding Seismic Amplitudes, by Steve Henry, #40135 (2004).

Search and Discovery.com

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...

Time-lapse attenuation variations during CO2 injection using DAS VSP data from the CaMI Field Research Station, Alberta, Canada

Yichuan Wang, Donald C. Lawton

International Meeting for Applied Geoscience and Energy (IMAGE)

... convolutional model for seismic reflection signal is A(t, f ) = S ( f ) R (t, f ) F (t, f ) G (t ) , (1) where A(t, f) is the time-frequency variant...

Rapid Play Evaluation through AI Interpretation

Jacob Smith, Peter Szafian

Australian Petroleum Production & Exploration Association (APPEA) Journal

... identifying faults, we must focus on how to transfer this complexity into a useful interpretation and then into our static model. In these examples we can...

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...

Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...

Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...

Accelerating innovation with software abstractions for scalable computational geophysics

Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

International Meeting for Applied Geoscience and Energy (IMAGE)

... as simple least-squares optimization problem for the non-linear wave-equation represented as an abstract matrix A(m) parametrized by the model parameter m...

Precursory Detection of Casing Deformation and Induced Seismicity in Unconventional Reservoirs, via Real-Time Surface Pressure Data Analytics

Thomas de Boer, Matthew Adams, Andrew McMurray, Giovanni Grasselli

Unconventional Resources Technology Conference (URTEC)

... architecture, incorporating convolutional and transformer-based models, that identifies short-term anomalies and longterm geomechanical trends. Regional...

Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations

Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin

International Meeting for Applied Geoscience and Energy (IMAGE)

... and performance of Convolutional Neural Networks (CNN). Considering we have labeled training data, referred to in domain adaptation circles...

Diagenesis and pore pressure induced dim spots „ Advances on AVO analysis of high-impedance reservoirs

Antonio Pessoa, Mark Chapman, Giorgos Papageorgiou

International Meeting for Applied Geoscience and Energy (IMAGE)

... stress scenario. Pressure-dependent AVO Analysis Seismic and Well Data Interpretation To conduct this AVO analysis, we assume a convolutional model...

Boosting Visualization of Image Logs in 3D Towards Automated Well-Centric Interpretation

Eya Ghamgui, Chandramani Shrivastava, Martin Carles, Josselin Kherroubi

Unconventional Resources Technology Conference (URTEC)

.... For example, using a lightweight deep learning model, the tool detects and visually highlights fracture features, while providing information...

Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site

Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The proposed method has potent compatibility for embracing diverse datasets and a strong ability to model complex dynamics and interactions between...

Using mixture density networks for uncertainty and prediction in seismic reservoir characterization

Cornelius Rosenbaum, Ryan Warnick, Anar Yusifov, Reetam Biswas, Atish Roy

International Meeting for Applied Geoscience and Energy (IMAGE)

...–111. Khan, S., H. Rahmani, S. A. A. Shah, and M. Bennamoun, 2018, A guide to convolutional neural networks for computer vision: Synthesis Lectures...

Application of Machine Learning to Facies Classification of Carbonate Core Images

Sharinia Kanagandran

Southeast Asia Petroleum Exploration Society (SEAPEX)

... learning techniques. The study evaluated two commonly used machine learning algorithms, Random Forest (RF) and Convolutional Neural Networks (CNNs...

Abstract: Open-source Python Stack and Tools for Geoscientific Image Analysis and Interpretation -From research to deployment; #91204 (2023)

Mustafa Al Ibrahim

Search and Discovery.com

... learning as backend to automate the estimation partially or completely. Semantic segmentation modules use convolutional neural networks to extract rock...

Abstract: Different Flavors of the Marchenko-Equation-Based Internal Multiple Elimination Methods: the Trade-off between Fidelity, Computational Cost and Ease of Use; #91204 (2023)

Marcin Dukalski, Chris Reinicke

Search and Discovery.com

... that the target primaries are dressed with a convolutional filter representing the total overburden transmissions. Therefore, convolution...