Characteristics of Microzonation Modelling in Reservoir Evaluation

Search and Discovery.com

Source location using physics-informed neural networks with hard constraints

Xinquan Huang, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

..., is often a challenge. Besides, this type of method is a purely data-driven method, which does not utilize the physical priors of the subsurface velocity...

Technology, a Cost or an Investment? Assessing and Assuring the Value of Technology in the Upstream Business

M. J. Mikulich

Indonesian Petroleum Association

... two years to shoot, process, and interpret a 3D seismic survey, the decision to proceed on a project may occur without the benefit that the 3D data...

A Business Planning Approach That Integrates Asset Management, Strategic Planning and Technology Planning

Scott S. Sollee, Gary P. Luquette, Hidayat Maruta

Indonesian Petroleum Association

... and the rapid growth and success of cross-functional teams were key to beginning a cultural change in CPI towards quality. This was followed...

Artificial Neural Networks for Corrosion Rate Prediction in Gas Pipelines

Sumarni, Deden Supriyatman, Kuntjoro Adjie Sidarto, Rochim Suratman, Rinaldy Dasilfa

Indonesian Petroleum Association

... for all decisions. It can be learned from the previous data and recognize patterns of data always changing and dynamic, like the ones in oil and gas fields...

Lower Cretaceous Geology Northwestern Karnes County, Texas

Delos R. Tucker

Bulletin of South Texas Geological Society

... ideas which are different from those given, and that as new data are accumulated, they will be presented so that a more complete understanding...

Velocity estimation via model order reduction

Alexander V. Mamonov, Liliana Borcea, Josselin Garnier, Jrn Zimmerling

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The initial guess co (x) is a one dimensional gradient in depth. In the right column of Figure 3 we compare the velocity estimates obtained from data...

Geophysical Insights into Completions and Production Predictability for a Shale Gas Reservoir Using Fault Intensity and AVO Inversion

Carl Reine, Sean Lovric

Unconventional Resources Technology Conference (URTEC)

... fracturing operations in a shale-gas reservoir. This is supported by microseismic data using calculations of event density, SRV dimensions, b-value, D-value...

Sand Bodies Connectivity Analysis Utilizing Measured Pore Pressure in Normal Pressure, Offshore Bohai Bay Basin, China, #42106 (2017).

Qian Geng, Xu Changgui, Niu Chengmin, Yang Bo, Yang Haifeng, Jia Zhen,

Search and Discovery.com

... Abstract Due to the consistency of pressure system within a uniform reservoir, the pressure-depth plot is currently deemed to be an important criterion...

Managing an Exploration Program for Success: Chapter 15: Part IV. Managing the Business

Bill St. John

AAPG Special Volumes

... objectives, one must establish goals, strategies, operational plans, and performance milestones at the district and functional levels. Doing so...

Authigenic Mineralogy of Sandstones Intercalated With Organic-Rich Mudstones: Integrating Diagenesis and Burial History of the Mesaverde Group, Piceance Basin, Nw Colorado

Laura J. Crossey, Daniel Larsen

Special Publications of SEPM

... data from coals 989b I HI values sandstones plotted depth Crosses presented by Bar versus and mudstones Squares designate analyses of mudstone...

A Data-Driven Modeling Methodology to Support Unconventional Reservoir Development Decisions: Application to the STACK Play in Oklahoma

Mac Burton, Sebastien Matringe, Trevor Atchison, Marion Houser, Andrew Munoz, Mo Taing

Unconventional Resources Technology Conference (URTEC)

...A Data-Driven Modeling Methodology to Support Unconventional Reservoir Development Decisions: Application to the STACK Play in Oklahoma Mac Burton...

Estimation of Channel Sinuosity from Paleocurrent Data: A Method Using Fractal Geometry

Parthasarathi Ghosh

Journal of Sedimentary Research (SEPM)

...Estimation of Channel Sinuosity from Paleocurrent Data: A Method Using Fractal Geometry Parthasarathi Ghosh 2000 Vol. 70 (2000), No. 3. (May...

Decoding Molecular Geochemistry of Kerogen from Marcellus Shale; #42153 (2017)

Vikas Agrawal, Shikha Sharma, Ajay Warrier

Search and Discovery.com

...) will be used to determine 1) structure of kerogen by evaluating types of carbon chains and functional groups present in kerogen and their association...

Geochemistry and Microbiology in Seep Prospecting

Martin Fowler, Casey Hubert

GEO ExPro Magazine

... and Normandeau, 2019). Data Obtained from Cores Recovered cores were variable in depth and up to 10m long. They were immediately sampled near...

Bass Basin Geology and Petroleum Exploration

G. C. Smith

Petroleum Exploration Society of Australia (PESA)

... & Cook, 1980; 1984). Burial History The burial history of the Bass Basin has been quan• titatively evaluated (Smith, 1981) in terms of depth-age data...

Banyu Urip Reservoir Surveillance Strategy

M. Romadhona, Ardian P. Putra, Ratih P. Nugroho

Indonesian Petroleum Association

... of reservoir uncertainties, then to acquire required reservoir data to reduce the uncertainties by justifying value of information, and to define...

Determination of Confined Fluid Phase Behavior Using Modified Peng-Robinson Equation of State

Gang Yang, Zhaoqi Fan, Xiaoli Li

Unconventional Resources Technology Conference (URTEC)

... of 15 data points collected from both experiments and molecular simulations, a correlation which is a function of dimensionless pore size has been...

Estimation of Reservoir Properties of Oil Strata from Cores

F. I. Kotyakhov, Yu. S. Mel’nikova, V. T. Morozova, Yu. A. Kuz’michev

Petroleum Geology: A Digest of Russian Literature

... analyzed; results were correlated with geophysical logging data. After the cores were correlated, the section of the pay zone of each well was subdivided...

Integrating New Technologies in Earth Modeling and Effective Validation Workflows for a Large Mature Field in Indonesia: Minas Field Case Study

Fifin Afianti, Ahmad D. Al-Aruri, Kris Pedersen, Mudji Prajitno

Indonesian Petroleum Association

... utilizing dynamic data. Based on the above, the initiative to build the FFEM was established. The new Minas model used a multi -functional team to re...

Integrating Geostatistical Modeling with Machine Learning for Production Forecast in Shale Reservoirs: Case Study from Eagle Ford

Alexander Bakay, Jef Caers, Tapan Mukerji, Yan Dong, Arnulfo Briceno, Devery Neumann

Unconventional Resources Technology Conference (URTEC)

... America, Midland, Texas, 13-14 September. SPE187494-MS. https://doi.org/10.2118/187494-MS. Grujic, O. 2017. Subsurface Modeling with Functional Data...

End-to-End Workflow for Managing Large Volume Data from CCUS

Jess Kozman, Stuart Lowery, James Lamb

Carbon Capture, Utilization and Storage (CCUS)

...End-to-End Workflow for Managing Large Volume Data from CCUS Jess Kozman, Stuart Lowery, James Lamb CCUS: 4014747 End-to-End Workflow for Managing...

Abstract: Estimation of Q-factor and Phase Velocity Using the Recovered Stress-strain Relaxation Spectrum; #90172 (2014)

Dali Zhang, Michael P. Lamoureux, Gary F. Margrave

Search and Discovery.com

... approximation by partial fraction decomposition. The method can use as data the values of measured, or simulated complex modulus or complex velocity...

Lower Cretaceous gas shales in northeastern British Columbia, Part I: geological controls on methane sorption capacity

Gareth R. L. Chalmers, R. Marc Bustin

CSPG Bulletin

... and Evaluation of Coal Sorption Isotherm Data. Society of Petroleum Engineers, SPE 20728, p. 157–170. Nishino, J. 2001. Adsorption of water vapour and carbon...

Abstract: Bringing the Cloud Underground: Lessons for BringingtheNext IT Revolution to Geoscience; #90224 (2015)

Grant Sanden and Yannai Segal

Search and Discovery.com

... models requiring compute intensive applications/algorithms to handle such complexity and huge data sets generated in the process (Kumar et al. 2012...