The Application of Lattice Gas Automata to Study Fluid Flow in Porous Media

Dedy Kristanto, Mariyamni Awang

Indonesian Petroleum Association

... on the development of a two dimensional lattice gas automata (LGA) model to simulate fluid flow in porous media. In lattice gas automata simple rules...

Developing a Versatile Method for Rock Physics Modeling in a Carbonate Reservoir by Integrating Rock Mechanic Laboratory Results, Petrophysical Analysis and Computational Rock Physics: A Case Study from The Kais Formation in the Salawati Basin

Al Hafeez, Ananto Wibisono, Rochmad, Khairil Iqbal, Agus Guntoro, Gianita Octavia

Indonesian Petroleum Association

...** Gianita Octavia** ABSTRACT Developing a versatile carbonate rock physics model is an important phase in furthering geophysical methods in carbonate...

Improving the Understanding of Long Term Behavior of a Major Fractured Basement Reservoir through Material Balance Study

Mugie Ginanjar, Hani Mohede, Martin Mlacnik

Indonesian Petroleum Association

... (IPRs) at lower pressures. Future data collection needs to be designed to address these uncertainties, and the dynamic reservoir model must be adjusted...

Integrated Natural and Hydraulic Fracture Modeling: A Permian Basin Wolfcamp Case Study

Fadila Bessa, Vinay Sahni, Shunhua Liu, Jiasen Tan, Manfred Frass, James Kessler

Unconventional Resources Technology Conference (URTEC)

... a comprehensive hydraulic fracturing model. Heat maps are also generated to help evaluate completion design and well spacing strategies. Applying...

A Novel Choke Management Evaluation Workflow Using Calibrated Hydraulic Fractures and Embedded Discrete Fracture Model for Deep Shale Gas Reservoirs

Chuxi Liu, Cheng Chang, Xingchen Wang, Wei Yu, Jijun Miao, Kamy Sepehrnoori

Unconventional Resources Technology Conference (URTEC)

...A Novel Choke Management Evaluation Workflow Using Calibrated Hydraulic Fractures and Embedded Discrete Fracture Model for Deep Shale Gas Reservoirs...

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...

Convolutional Neural Networks Forecasting for Unconventional Drilling Units in US Land

Francisco J. Parga Garcia, Jie Fang, Niven Shumaker

Unconventional Resources Technology Conference (URTEC)

... a multidimensional tensor compatible with a CNN workflow; 5) training a CNN model for regression using the wine-rack rasters as inputs and monthly production of each...

A Model-Based Method to Supply Missing Log Information, by Michael A. Frenkel, #40106 (2003).

Search and Discovery.com

Comparison between the Different Approaches of Secondary and Tertiary Hydrocarbon Migration Modeling in Basin Simulators

Sylvie Pegaz-Fiornet, Bernard Carpentier, Anthony Michel, Sylvie Wolf

AAPG Special Volumes

..., Bernard Carpentier, Anthony Michel, Sylvie Wolf 2012 221 236 Two major techniques are commonly used to model secondary and tertiary hydrocarbon migration...

Transfer Learning for Scalable Optimization of Unconventional Field Operations

Hector Klie, Bicheng Yan, Arturo Klie

Unconventional Resources Technology Conference (URTEC)

..., selecting the right model or workflow is a challenge and, especially when they have to adapt to different future data requirements, scales...

Fractional Dimension Rate Transient Analysis (FD-RTA) Applied to Multiphase Wells

Jorge A Acuña, Vincent Artus, Alejandro Lerza

Unconventional Resources Technology Conference (URTEC)

... the estimation of model parameters from the diagnostic plots depending on whether total liquid or total flow are used for its construction. We show that parameters...

Application of random forest algorithm to predict lithofacies from well and seismic data in Balder field, Norwegian North Sea

Hoang Nguyen, Bérengère Savary-Sismondini, Virginie Patacz, Arnt Jenssen, Robin Kifle, and Alexandre Bertrand

AAPG Bulletin

... distribution prediction and suggest further research topics to enhance the model results. Kevin P. Murphy defined machine learning “as a set of methods...

A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs

Peter E. K. Deveugle, Matthew D. Jackson, Gary J. Hampson, Jonathan Stewart, Martyn D. Clough, Thaddeus Ehighebolo, Michael E. Farrell, Craig S. Calvert, James K. Miller

AAPG Bulletin

... (MPS); and (4) spectral component geologic modeling. A reference for comparison is provided by a high-resolution model of an outcrop analog...

CO2 Plume Imaging with Accelerated Deep Learning-based Data Assimilation Using Distributed Pressure and Temperature Measurements at the Illinois Basin-Decatur Carbon Sequestration Project

Takuto Sakai, Masahiro Nagao, Chin Hsiang Chan, Akhil Datta-Gupta

Carbon Capture, Utilization and Storage (CCUS)

... by proposing an accelerated deep learning-based workflow for model calibration and prediction of CO2 plume evolution in the reservoir. In the proposed...

Next-generation resolution through multiparameter FWI imaging

Tom Rayment, James McLeman, Karen Dancer, Tim Burgess

International Meeting for Applied Geoscience and Energy (IMAGE)

... the simultaneous FWI imaging technique. Introduction The use of diving waves in FWI has become an industry-standard practice in model-building workflows...

Automatic detection of SEG-Y sampling format errors using machine learning

Sahana Vinayak, Ray Abma, Sergey Fomel

International Meeting for Applied Geoscience and Energy (IMAGE)

... learning can be used to identify errors in floating-point number format conversions of a seismic dataset. A machine learning model was built using a deep...

A Report on the Renaissance of Gravity in the Deep Water Gulf of Mexico: A Practical View of Integration Methods

Brian S. Anderson, Mark E. Weber, John E. Bain

Houston Geological Society

... the seismologists to refine their migration velocity model for the structure, and as a result, refine the seismic image through reprocessing the data using...

Advanced VSP modeling for efficient data acquisition in deepwater subsalt well

Manish Lal Khaitan, Rafael Guerra, Francesco Miranda, Emmanuel Spadavecchia

International Meeting for Applied Geoscience and Energy (IMAGE)

... velocity model, and improve the image of the subsalt reservoir. An expensive drilling rig placed a constraint on the number of seismic source...

The calculation of first-arrival P-wave traveltime for attenuating TTI media

Mengxiu Wang, Jingyi Chen, Zhengcong Zhao, Kaiyuan Ji, Shaoying Chang

International Meeting for Applied Geoscience and Energy (IMAGE)

... by the model expansion method. In order to deal with anisotropic media, Lan et al. (2014) proposed the topography-dependent eikonal equation in VTI media. Hao...

Counting the Cost

Laura Roberts, Viki O'Connor

GEO ExPro Magazine

.... Uncertainty is present in all aspects of the reservoir modeling workflow, from obtaining the raw data, to data processing and interpretations, through to model...

Application of artificial intelligence for simultaneous water and gas coning problems in hydraulically fractured tight oil reservoir

Mihir Kumar

International Meeting for Applied Geoscience and Energy (IMAGE)

... a 3D reservoir simulation model that has been tested for a variety of fracture characteristics, reservoir, and fluid properties including conductivity...

North West Shelf 3D Velocity Modeling

Laureline Monteignies, Cedric Magneron, Natalia Gritsajuk

Petroleum Exploration Society of Australia (PESA)

... the basins located in the province. Using an innovative 3D approach, a model covering the entire NWS has been built and is presented in this paper. The major...

Analysis of potential fields through source decomposition in hypercompact atoms

Marco Maiolino, Luigi Bianco, Giovanni Florio, Maurizio Fedi

International Meeting for Applied Geoscience and Energy (IMAGE)

... possible volume, a sort of “atoms” selected among the many possible model that satisfy the potential field inverse problem. In fact, it is well known...

Optimal transport for elastic source inversion

Tyler Masthay, Björn Engquist

International Meeting for Applied Geoscience and Energy (IMAGE)

... model (M´ tivier et al. (2018)). Cycle e skipping is caused by the nonconvex nature of the misfit optimization landscape in its typical least-squares...

Integrated subsurface characterization and evaluation of CO2 storage potential of the Illinois Basin Decatur Project (IBDP)

Ganiyat Shodunke, Cassian Henriques, Qais Al Maqbali, Maria P. Madariaga, Olawale Alo, Khalil Buckmire, Isabella Ferreira

International Meeting for Applied Geoscience and Energy (IMAGE)

... of CO2 stored to meet future demands. The dynamic reservoir model predicts the behavior of the CO2 plume and its containment over time. We estimate...