Integrated well data and 3D seismic inversion study for reservoir delineation and description

Qazi Sohail Imran, Numair Ahmad Siddiqui, Abdul Halim Abdul Latif, Yasir Bashir, Almasgari Abdalsalam, Abduh Saeed Ali, Muhammad Jamil

Geological Society of Malaysia (GSM)

... on the convolutional model and a linearized weak contrast approximation of the Zoeppritz equations. The solution of stochastic inversion is given by a Gaussian...

Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model

Meng Cao, Mukul M. Sharma

Unconventional Resources Technology Conference (URTEC)

...Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model Meng Cao, Mukul M. Sharma URTeC...

Active gamma-ray well logging pattern localization with reinforcement learning

Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, Shirui Wang, Zhu Han

International Meeting for Applied Geoscience and Energy (IMAGE)

... similar sequential patterns among logs based on the human experience. This manual labour task is time-consuming. Thus automatic method has been...

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

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Probabilistic Modeling of Well Interference for Shale and Tight Development with Subsurface Uncertainty

Yuguang Chen, Ryan Burke, Tom Tran, Andrew Roark, Scott Hanson

Unconventional Resources Technology Conference (URTEC)

... realizations of model input parameters are considered for both petrophysical and geomechanical properties. Design of Experiments (DoE) are applied at each...

Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment

Uchenna Odi, Thomas Nguyen

Unconventional Resources Technology Conference (URTEC)

...-defined geological facie classifications. Once the machine understands the relationship between geological facies and CT scan physics, the resulting model...

Detailed petroleum system insights using deep learning: A case study from the Scarborough Gas Field, offshore Australia

Scotty Salamoff, Julian Chenin, Benjamin Lartigue, Nguyen Phan, Paul Endresen

International Meeting for Applied Geoscience and Energy (IMAGE)

... large, high-resolution, three-dimensional (3D) seismic data can be a time-consuming and tedious process. However, new methods utilizing deep learning...

A Novel System for Determining Flaring Efficiency Utilizing Optical Methods and Artificial Intelligence

Ángel E. Esparza, Joe Etheridge

Unconventional Resources Technology Conference (URTEC)

... in real time. In this IR spectra, the system can identify and quantify the flared and pilot gases, while evaluating the system’s destruction...

The Role of Forward Seismic Modeling: Outcrop Analogs of Deep-Water Architectures; #51679 (2020)

Jamie K. Pringle, David A. Stanbrook

Search and Discovery.com

...™ software program displays both the seismic image and the seismic traces overlain on the time-converted, seismic model. Traces are spaced at 12.5 m...

Jointly data and model driven pre-stack inversion of elastic and anisotropy parameters in HTI media

Xin Zhang, Jianhua Geng

International Meeting for Applied Geoscience and Energy (IMAGE)

...Jointly data and model driven pre-stack inversion of elastic and anisotropy parameters in HTI media Xin Zhang, Jianhua Geng Jointly data and model...

Remote Well Site Biostratigraphy and Advances in Automated Fossil Analysis; #41930 (2016)

Gunilla Gard, Iain Prince, Jason A. Crux, J. M. Shin, Bernard Lee

Search and Discovery.com

..., Texas 4 InnovaPlex Inc., Houston, Texas 2 Abstract Real time well site biostratigraphy monitors the stratigraphic progress of drilling wells, advising...

Neural network-based seismic data conditioning: Case study of engineering seismic survey data

Juan Lee, Yongchae Cho

International Meeting for Applied Geoscience and Energy (IMAGE)

... to generate training data of varying sizes. These data are then employed to construct an artificial neural network model. To address limitations...

Analysis of the Elastic Impedance Inversion and Lamda Mu Rho to Identify the Distribution of Sandstone Reservoirs and Hydrocarbon Fluids in the JoggingŽ Field, Northwest Java Basin

Akbar Dwi Wahyono, Mualimin, Sudarmaji

Indonesian Petroleum Association

...(t) in terms of expansion : k K r t   xt     k ø k t  k 1 where x(t) is the segment of the input trace that follows the convolutional model...

Optimization of Relative Geological Time Derived From Flow Field A Label Free Approach

Zhun Li

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation: Geophysics, 87, IM25–IM35...

Outcrop to Subsurface Reservoir Characterization of the Mississippian Sycamore/Meramec Play in the SCOOP Area, Arbuckle Mountains, Oklahoma, USA

Benmadi Milad, Roger Slatt

Unconventional Resources Technology Conference (URTEC)

... horizontal wells. Geological Settings and Area of Study During Mississippian time, North America was covered by a warm and shallow epeiric sea (Curtis...

Fault surface extraction based on computational topology

Cheng Zhou, Cun Yang, Ruoshui Zhou, Xingmiao Yao, Guangmin Hu

International Meeting for Applied Geoscience and Energy (IMAGE)

..., time range: 1.536s to 1.844s) to demonstrate the effectiveness of our method. We adopt a convolutional neural network method described in Zhou et al...

AVO and Inversion Contribute to Makassar Exploration Efforts

William L. Soroka, Herry Andiarbowo, Anung Widodo

Indonesian Petroleum Association

... representation of true amplitude normal incidence P-wave reflectivity. From the convolutional model, it is understood that the seismic wavelet convolved...

Complex structure pattern and its control on reservoir distribution in the Apsheron ridge of South Caspian Basin, insights from integrated study of OBN seismic

Xiao Dengyi, Li Jianlin, Song Jiawen, Zhao Min, Li Xiaoliang, Chen Xin, Qi Qunli, Chen Shuangting, Li Qiang, Wang Bo, An Fuli, Wang Li, Liu Qiang, Cui Jinglin

International Meeting for Applied Geoscience and Energy (IMAGE)

... as multiple seismic attributes. It’s the first time that the fault pattern in Cheleken Peninsula was detailed delineated. Two typical fault styple...

Well Performance and Completion Efficiency Assessment in the Delaware Basin using the Diffusive Time of Flight

Jaeyoung Park, Yuxing Ben, Vivek Muralidharan

Unconventional Resources Technology Conference (URTEC)

...Well Performance and Completion Efficiency Assessment in the Delaware Basin using the Diffusive Time of Flight Jaeyoung Park, Yuxing Ben, Vivek...

Recursive DIP for seismic random noise attenuation

Yun Zhang, Benfeng Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

..., filtering-based methods and time-frequency transform/sparse transformbased methods. These conventional denoising methods have achieved good results...

AAPG Rocky Mountain Section Annual Meeting; - Abstracts, #90301 (2017).

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Stability criteria for seismic data interpolation artificial neural networks

Yiying Xing, Wenlong Wang, Florian Bossmann, Xuexin An

International Meeting for Applied Geoscience and Energy (IMAGE)

... select three artificial neural networks that have been successfully applied in seismic data interpolation Deep Convolutional Neural Network (DnCNN...

Innovative disorder seismic attribute for reservoir characterization

Qiang Fu, Saleh Al-Dossary

International Meeting for Applied Geoscience and Energy (IMAGE)

... seismic attribute is a convolutional filtering based algorithm designed using an optimization approach. By design, the attribute is insensitive to faults...

Abstract: Azimuthal Fourier Coefficient Elastic Inversion; #90174 (2014)

Benjamin Roure and Jon Downton

Search and Discovery.com

... and the real data expressed as follows: Misfit   R *W  data  i , j  2 (1) i, j The modeled data is calculated using a convolutional model where...

A step towards the automatization of predictive geological mapping

Rafael Pires de Lima, Marcos Ferreira, Iago Costa

International Meeting for Applied Geoscience and Energy (IMAGE)

..., the sampling of such campaigns would follow a regularly spaced grid. However, time, budget, and access constraints make it difficult to have...