subsurfaceAI 2024.1

نوشته شده توسط Super User. ارسال در مدل سازی زمین شناسی

Welcome to subsurfaceAI Inc. (formerly Geomodeling Technology Corp.), an international software company based in Calgary, AB, Canada. With a strong foundation dating back to our establishment in 1996, we have been at the forefront of developing innovative software solutions for the oil and gas exploration and production industry.

 

 

For over 26 years, subsurfaceAI has been dedicated to pushing the boundaries of what is possible in the subsurface software for E&P industry. Our Al-powered software offers an integrated solution for multi-scale subsurface data interpretation, integration, and geomodeling. By harnessing the power of artificial intelligence, we enable our clients to significantly increase productivity, enhance consistency, and digitize their corporate knowledge.

One of the key strengths of our software lies in its ability to digitize and centralize corporate knowledge of your subsurface teams. Through a centralized database, which stores Al labels and models, our clients gain access to a wealth of valuable information that can be utilized across multiple projects in different basins. This centralized approach fosters collaboration, efficiency, and seamless knowledge sharing, empowering organizations to make informed decisions and drive successful outcomes.

In addition to its application in oil and gas exploration and production, subsurfaceAI’s innovative software can also be applied to select and characterize geologic CO2 storage reservoirs. We recognize the importance of sustainable practices and are committed to providing tools that contribute to the effective management of carbon emissions and the transition to a more environmentally conscious future.

At subsurfaceAI, we have a team of dedicated professionals who possess extensive expertise in geoscience, data science, and software engineering. Our commitment to innovation and their deep understanding of the industry allows us to consistently deliver software solutions that exceed our client expectations.

As we embark on this new chapter as subsurfaceAI, we are excited about the endless possibilities and opportunities that lie ahead. We invite you to explore our website and learn more about how our software can revolutionize your oil and gas exploration and production workflows. Join us as we continue to drive innovation, transform industries, and shape a sustainable future.

Welcome to subsurfaceAI, where cutting-edge technology meets environmental responsibility in the world of subsurface data interpretation and beyond.

What is subsurfaceAI

subsurfaceAI is an integrated software platform that accelerates subsurface workflows by 20-200 times through applications of artificial intelligence (AI) and machine learning (ML):

Rapid and integrated interpretation of seismic and well data.

Multi-scale and cross-scale reservoir modeling from core to full field models.

Prediction of reservoir properties between wells.

Integrated analysis & prediction for optimal drilling, completion, and production in unconventional plays.

Why “subsurfaceAI”?

Are you busy?

Would you like to finish your interpretation in days instead of months?

Would you like to have a fast workflow to integrate G&G and production data to design your next well pad?

Are you frustrated with the practice that permeabilities in a reservoir model are arbitrarily changed to match the production history without considering the geology?

Do you need a fast workflow to integrate core plug data and geologic conceptual models in your the full-field reservoir model?

subsurfaceAI provides fast and accurate workflows for integrated interpretations of subsurface data, quantitative integration of multidisciplinary data across scales, and multi-scale geomodeling and upscaling. subsurfaceAI helps you deliver impactful results to your subsurface team quickly.

 

What’s Unique in subsurfaceAI?

subsurfaceAI learns from you. Your domain knowledge is essential for AI predicted results.

subsurfaceAI is built on the top of a seismic and well data interpretation system that has 26 years in R&D and commercial support. The AI training and prediction processes are seamlessly integrated with traditional interactive interpretation workflows.

subsurfaceAI digitizes your corporate knowledge of subsurface data interpretation through training labels and AI models stored in a multi-user database that allows the labels and models to be re-used in different projects.

The first integrated subsurface software platform in the E&P industry for multi-scale and cross-scale data interpretation, integration and geomodeling; all processes are infused with AI and ML in one platform.

Products

subsurfaceAI is licensed in modules and packages that are tailored to subsurface workflows for an integrated subsurface team:

integrationAI is the next generation seismic and well data interpretation software powered by AI.

geomodelingAI allows you to quickly turn your geologic concepts into 3-D reservoir models and directional permeabilities at sub-seismic scales which are missing in the traditional reservoir modeling workflow.

integrationAI allows you to predict reservoir properties by easily incorporating geological, geophysical, petrophysical, engineering data into one ML workflow.

unconventionalAI allows you to interpret and predict drilling hazards from seismic attributes, estimate stimulated reservoir volumes (SRV), and map production “sweet spots” by integrating geoscience data, completion data, drilling data, and reservoir diagnostic data (microseismic, DAS, and tracer testing data)

interpretationAI for Interpretation Geophysicists

interpretationAI is the next generation seismic and well data interpretation software powered by AI. From just a few lines of your interpretations of faults, horizons, and geobodies, interpretationAI will extend your interpretation to the entire volume. This allows you to interpret a large seismic volume in days, instead of months.

Deliverables

Fault probability volumes

Fault sticks

Seismic sequence volumes

Horizon surfaces

Geobodies volumes

Channel probability volumes

Multi-facies volumes

Benefits

Quick and easy process to train AI models with your interpretations of faults, horizons, channels and geobodies on just a few key sections.

Train and predict multiple objects in one iteration.

Multi-user database stores training labels and AI models that can be to be reused across the company in different projects.

Built on a traditional seismic interpretation and visualization package.

Seamless integration with traditional seismic & well data interpretation and reservoir characterization workflows.

Seamless integration with data driven inversion of reservoir properties within one project.

geomodelingAI for geologists

geomodelingAI allows you to quickly turn your geologic concepts into 3-D reservoir models at sub-seismic scales which are missing in the traditional reservoir modeling. Powered by AI and machine learning, geomodelingAI provides you with a fast workflow solution that models heterogeneities at multiple scales in one project, rigorously integrating both data and models from cores to a full field model.

Deliverables

Kv/Kh distributions for each facies.

Directional permeability logs.

Reservoir model grids with layering that match depositional environments.

Directional permeability grids (Kx, Ky, Kz) before or after upscaling to flow grids.

Benefits

More than 100 templates for clastic and carbonate reservoirs.

Conditioned to core-plug data (porosity, permeability, sorting and grain size classes).

Flow-based upscaling for directional permeability tensor.

Multiple scenario modeling of stratigraphic architectures below the seismic resolution.

Capture the impacts of sub-seismic heterogeneity to the fluid flow with coarse grid.

Amplifies SBEDTM and ReservoirStudioTM modeling capabilities with AI in one integrated package.

Seamless integration with seismic and well data interpretations and production simulation workflows.

integrationAI for the whole asset team

integrationAI allows you to cross scales and cross disciplines by easily incorporating geological, geophysical, petrophysical, engineering data and interpretations in one project. Reservoir properties are consistently predicted with explainable neural networks by utilizing data at multiple scales and disciplines.

Deliverables

Results from integrationAI are delivered in the format of volume, well log, 2-D surface, or 3-D grid, for either continuous data or discrete type variables.

Well log at every seismic trace (e.g., Gamma, DT, or Porosity logs).

Log facies at every seismic trace.

Any reservoir property that has training data from wells.

Production rate or production volume (e.g., IP 30).

Benefits

Flexible in supporting both geoscience, production, drilling, and completion data.

Fast training allows asset team to use their domain expertise to choose the best predictors over the course of a meeting.

Easy to quantitatively integrate data from different disciplines.

Excellent QC tools to explain the prediction results, using correlations, Shapley values, predictor importance plots, ensure that the predictors are optimally chosen.

unconventionalAI for optimizing unconventional plays

unconventionalAI allows you to interpret and predict drilling hazards from seismic attributes, estimate stimulated reservoir volumes (SRV), and map production “sweet spots” by integrating geoscience data, completion data, drilling data, and reservoir diagnostic data (microseismic, DAS, and tracer testing data).

Deliverables

4-D microseismic volumes that monitor in-stage hydraulic fracking process.

4-D visualization of tracer measurements showing oil & gas production at each fracking stage as a function of time.

Connectivity maps between parent and child wells.

SRV distributions per fracking stage per wells.

Visualization maps for completion data vs. microseismic events as a function of time.

Benefits

Dynamic visualization of microseismic events together completing and seismic data.

In-stage microseismic monitoring.

Predict microseismic density from surface seismic attributes for future frack jobs.

SRV estimation and prediction for future wells.

 

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