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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System Requirements

Requirements for interpAI Workstation

An interpAI system consists of an interpAI client and one or multiple interpAI servers. The training and prediction with the AI model are made in the interpAI servers which utilize the computation power of the Graphic Processing Unit (GPU) in the video card. We only support NVIDIA video cards.

The interpAI client and server programs run on MS-Windows 64 bits (version 10 or 11).

For optimal performance, we recommend installing both interpAI client and interpAI server on the same workstation, even though the interpAI client program can be configured to work with multiple interpAI servers in the same local network.

The following table lists both recommended and the minimum system configurations for an interpAI workstation where you install both interpAI server and client programs.


	Recommendations
CPU	64-bit Intel Core i9-12900K, 5.20 GHz
Graphics Card	NVIDIA GeForce RTX 4090TI (24 GB GPU Memory), or NVIDIA A6000 (24GB GPU Memory)
CPU Memory	The DDR5 RGB memory is highly recommended for optimal performance. 32 GB or more RAM is recommended Large data sets may require more RAM
Disk	PCIe 4.0 NVMe M.2 disk is highly recommended for optimal performance. 4TB or more is recommended

Requirements for subsurfaceAI, geomodelingAI, integrationAI, unconventionalAI

The table below lists system requirements and recommendations for subsurfaceAI software products. Note that a recommendation is not a guarantee of successful performance for very large data sets.


Operating System	Supported
Windows 10 or Windows 11	Yes
Redhat 7 64 bit system	Yes
64 bit systems	Yes
32 bit systems	No

The following are general recommendations for hardware configurations. These recommendations are not a guarantee of successful performance for large data sets. Supported project data is mainly limited by disk size, less dependent on memory size. However, at least 32 GB CPU memory is required. 64 GB memory is recommended if you are considering a new workstation.


Parameters	Recommendations
CPU	Intel® Core i9-12900
Graphics Card	NVIDIA GeForce 3080 or better
CPU Memory	The DDR5 RGB memory is highly recommended for optimal performance. 32 GB or more RAM is recommended
Disk	PCIe 4.0 NVMe M.2 disk is highly recommended for optimal performance. 4TB or more is recommended

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