Decarbonizing Chile: challenges & opportunities (III)

From the discussions in the previous two posts of this series, it can be inferred that Chile is currently eager to promote Geothermal Energy (GE), and may also be interested in CO2 EOR+ technology. No matter the case, a detailed and comprehensive characterization of the subsurface of the selected project areas should be required. Characterization that includes geophysical interpretation on horizons and faults, seismic attributes, and more (the post cover photo and the image below are courtesy of FREEPIK):

Also an stratigraphic analysis and modeling:

A robust petrophysical interpretation and modeling is crucial for accurately calibrating and validating geophysical and stratigraphic models, and volumes evaluation:

The next step is to incorporate the earlier findings into a geocellular/geostatistical model of the subsurface that encompasses all structural complexities and important rock properties, such as porosity, permeability, rock thermal conductivity, and so on. This geomodelling process must also involve assessing and managing uncertainties:

At the same time, using the historic and other siloed information available, it could be carry out Descriptive, Predictive and Prescriptive Analytics (Machine Learning, Deep Learning, etc.) to, for example in a case of a CO2 EOR+ project, identify the wells with higher probability of been successful if they are opened to production.

The image below shows a practical example of a Recommendation Engine, using real data from the Gulf San Jorge (Chubut, Argentina), hosted in Google Looker Studio. This example utilizes probabilities from a Machine Learning workflow implemented in Python in Google Colab:

Even more reliable results could be obtained by utilizing the DataRobot AI-powered platform, which considers hundreds of algorithms in its workflows, ranks results, and enables the user to select the best-performing one...

Angel Solutions (SDG) along with our trusted partners - MineaOil Ltd, Geoloil PETROPHYSICS, and DATAMATE - are comprised of highly trained professionals who possess all the expertise mentioned and more, and are ready to undertake your projects and training requirements.

About our partners:

• MineaOil Ltd: MineaOil Ltd has been recognized as the Energy Consultancy and Training Company of the Year at the 2023 Corporate LiveWire Innovation & Excellence Awards. As a UK-based oil and gas consulting company, we specialize in reservoir and petroleum engineering, and Enhanced Oil Recovery (EOR) through various methods such as miscible gas injection, WAG, N2, CO2, and more.

• GeolOil LLC: GeolOil is a software and consulting company specialized in petrophysics for oil & gas conventional and un-conventional reservoirs, CO2 storage, CO2 natural reservoirs, geothermal energy, hydro-geology, natural hydrogen reservoirs, and natural helium reservoirs. Our affordable software, listed by the official SPWLA software directory, has an intuitive graphical user interface, easy to use, with readable bold buttons and plenty of options.

• DATAMATE: We are a company dedicated to facilitating the effective use of data to enhance growth and strategic decision-making. As an official partner of DataRobot, a pioneer in AutoML and MLOps, we are committed to bringing artificial intelligence capabilities to organizations of all sizes.

About DataRobot:

• DataRobot: At DataRobot, we move fast and reward hard work. We expect results but most of all, we love doing work we’re passionate about. We believe that AI will enhance every aspect of business transactions and human interactions to improve how we live, work, play and stay safe. Our vision? For all organizations to adopt Value-Driven AI as a core competency to improve how they run, grow, and optimize their business.

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