Geomodeling in SEG 2014 Annual Conference

Challenges
Solutions

Rapid Seismic Interpretation

Everything you need to complete large 2-D and 3-D seismic interpretation projects, >20 times faster than legacy software

Multi-Scale Reservoir Modeling

Unique solutions to model lamina and outcrop scales heterogeneity and seamlessly integrated with seismic scale reservoir models within one project

Machine Learning (ML) for Reservoir Property Prediction

Easy-to-use workflows for integrating seismic inversions, well data and make reservoir property grids and maps

AI Assisted Interpretation of Core Photos

Fast interpretation of core photos to deliver “ground-truth” logs of litho-facies, Vshale, porosity and permeability.

Seismic Attribute Calculation & Integrated Analysis

Interactively calculation of seismic attributes with data conditioning, seamless integration with well data and reservoir modeling

Microseismic Data Analytics & Integration

Advanced 4-D visualization and SRV estimation within fracking stage, evaluate parent-child relations in horizontal drilling

CO2 Geologic Storage Reservoir Characterization

Full-cycle workflow solution for CO2 storage site selection, reservoir mapping and characterization, modeling and leakage monitoring

Rock Physics Modeling & Quantitative Interpretation (QI)

Build local rock physics templates (RPT) for fast QI interpretation of seismic inversion volumes

Sweet Spot Mapping & Production Prediction

Fit-for-purse ML workflows built for integrating production data and near-wellbore seismic attributes for predicting sweet spots and future production
Products
Geophysicists

subsurfaceAI for geophysicists

Including all necessary functions to perform traditional seismic interpretation, advanced seismic attribute calculation, visualization, and analysis in an integrated visualization environment (Modules 1, 2, 3, 8, 9, 11, 12, 14)

interpAI

AI-infused seismic interpretation solution offers everything needed for rapid 2-D and 3-D seismic interpretation (Modules 1, 2, 10)

unconventionalAI

A specialized software solution optimized for enhancing the productivity of unconventional plays (Modules 1, 2,13, 15, 16, 17, 18)

Geologists

subsurfaceAI for geologists

including all necessary functions to perform traditional geologic interpretation and correlation of well logs, mapping, and advanced visualizations in both 2-D and 3-D (Modules 1, 2, 3, 5, 6, 13, 16, 19)

coreAI

AI-assisted software solution for quantitatively interpreting core photographs and predicting reservoir properties, such as Vshale, facies proportional curves, porosity and permeability logs (Modules 1, 2, 4)

geomodelingAI

Advanced geologic modeling solutions that spans from core analysis to full-field modeling, merging SBED and ReservoirStudio capabilities in a unified environment (Modules 1, 2, 7, 13, 15, 16, 19, 20)
Data Scientists

integrationAI

A machine learning toolbox designed for the seamless integration of geoscience, production, and completion data (Modules 1, 2, 13, 15, 16)

subsurfaceAI Module List

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Module 14

Module 15

Module 16

Module 17

Module 18

Module 19

Module 20

Module 21

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Module 14

Module 15

Module 16

Module 17

Module 18

Module 19

Module 20

Module 21
Support

Contact Support Team

Phone numbers of subsurfaceAI support teams. Request for more information from us

Case Studies by Products

Published case studies listed by products

System Requirements

Recommend hardware, operating systems & cloud

Case Studies by Reservoirs

Published case studies listed by reservoir types

Training

Training topics and schedule

References

List of published technical references and case studies
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Published: October 21, 2014

We are pleased to announce that a successful AttributeStudio^TM case study paper, co-authored by Mr. Ryan Fairfield, an SM Energy geophysicist and two of Geomodeling’s geoscientists has been selected as a paper from URTeC 2013 conference to be presented at the 2014 84^th Annual SEG Meeting.

The paper’s title is “A Workflow for Predicting Porous Sand via Seismic Attribute Analysis of a Missourian Age Mid-Continent Wash”. The abstract can be found at http://library.seg.org/doi/abs/10.1190/segam2014-1292.1.

Please join us at session SS2, Room 2BC, on Oct. 27^th (Monday) afternoon 2:20 pm for this presentation.

For more information about this case study, please contact Geomodeling at [email protected]

Rapid Seismic Interpretation

Multi-Scale Reservoir Modeling

Machine Learning (ML) for Reservoir Property Prediction

AI Assisted Interpretation of Core Photos

Seismic Attribute Calculation & Integrated Analysis

Microseismic Data Analytics & Integration

CO2 Geologic Storage Reservoir Characterization

Rock Physics Modeling & Quantitative Interpretation (QI)

Sweet Spot Mapping & Production Prediction

Geophysicists

subsurfaceAI for geophysicists

interpAI

unconventionalAI

Geologists

subsurfaceAI for geologists

coreAI

geomodelingAI

Data Scientists

integrationAI

subsurfaceAI Module List

Contact Support Team

Case Studies by Products

System Requirements

Case Studies by Reservoirs

Training

References

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