Expert: Luisalic Hernandez
Product Owner for DecisionSpace® 365 Scalable Earth Modeling and Earth Modeling
Whether you’re a geomodeler, earth or reservoir modeler, exploration, appraisal, development or asset geologist, geoscientist, or manager, you all likely face the same dilemma: How can you reduce the typical earth modeling workflow timeframe and generate insight faster?
The traditional approach to generating earth models can be a laborious task, with many limitations and challenges. You may have had to compromise the resolution of your earth models due to limited resources and time. Add working at different scales, which can introduce more inconsistences, and your informed decisions can quickly veer into best guess territory.
Scalable Earth Modeling, a DecisionSpace® 365 cloud application, is the first cloud-native, gridless 3D geomodeling application that helps you to build accurate and scalable subsurface models in a fraction of the time.
The software provides you with a single, scalable, gridless model populated through geostatistical algorithms. You can then scale up and down your gridless model, while maintaining the fidelity of your original data across different scales, so that wellbore scale models are consistent with reservoir and regional-scale models. Having established a consistent set of subsurface models, you can then test the impact of different geological concepts and scenarios to help make more informed subsurface decisions and arrive at a single source of truth.
Results You Can See, Quickly
With a paradigm shift in the approach to earth modeling - leveraging the elastic computing capabilities of the cloud - you can now build models and run multiple realizations at unmatched speed.
For example, a 15 million-point simulation (equivalent of 15M grid cells) using traditional earth modeling techniques typically took approximately 10 minutes per realization and 108 minutes for 25 realizations. Scalable Earth Modeling’s gridless modeling techniques can run and visualize one realization in as little as three minutes, with 25 realizations only taking about 4.5 minutes. That’s a 96 percent decrease in realization visualization and leaves more time for risk analysis!
Driving Subsurface Insights
New data can be easily integrated using DecisionSpace Dynamic Frameworks to Fill® to update your structural model. Having earth models that are computationally and geologically scalable means you can create self-consistent models. This powerful cloud-native application uses all available data, all of the time. Scalable Earth Modeling helps provide consistent and reliable subsurface characterizations by maintaining resolution of your original data. And the power of cloud computation means multiple realizations can be run faster, further helping you quantify uncertainty.
Each model can be viewed at different scales for any given area in a single simulation, providing valuable context for your subsurface evaluation and facilitating cross-domain collaboration. You can build large and/or high-resolution models, reduce the modeling to decision making cycle, and use earth models earlier in the decision making cycle.
Helping Reduce Uncertainty. Making Informed Decisions
Uncertainty quantifications can be handled by processing multiple realizations of rock properties. You can see the results in simple and easily understandable 3D uncertainty volumes that will help give you a better understanding of the subsurface and improved confidence in your model. Improved confidence assists you to generate more trusted and reliable oil and gas reserve calculations, and increase your return on investment.
Scalable Earth Modeling allows you to rapidly build multi-scale models for consistent and reliable subsurface characterization at varying resolutions, enabling you to rapidly generate multiple scenarios for uncertainty analysis, while maintaining the fidelity of your original data.
By leveraging the elastic compute capabilities of the cloud, you can dramatically reduce the typical earth modeling workflow timeframe and run multiple realizations faster.
The result is consistent, multi-scale, high-resolution subsurface modeling to support informed decision-making. Request a demo today.