The field of geoscience is intrinsically woven into the UN Sustainability Goals and will play a crucial role in delivering on these commitments. The challenge before us, both as a society and as industry professionals, is reducing carbon emissions and combating climate change, while also addressing fuel poverty and the increasing energy demands of a growing global population.
As we stand at the forefront of a new era in the energy industry, we recognise the untapped potential that lies within our subsurface data. Hindered by outdated technologies and limited resources, the wealth of this data remains largely unexplored. Yet, this data holds the key to:
- Optimising exploration and production of hydrocarbons to meet energy demands
- Screening, characterising, de-risking and monitoring CO2 storage sites to tackle emissions
- Accelerating the transition to renewable energy, such as geothermal and wind
So, how can we unlock the value of this data? That's what we will explore in this blog.
The digital underground
Unlocking subsurface insights has traditionally been hampered by data accessibility and inefficient interpretation methods. Geoscience data is typically organised in folder structures without metadata stored across multiple data stores connected to specific software products. Consequently, geoscientists find themselves spending more than half their time on a data scavenger hunt. Furthermore, traditional methods for geological interpretation are time-consuming, expensive, and prone to errors and human bias.
By leveraging digital technologies, we can liberate data from legacy silos, make it readily accessible for large-scale analytics, and utilise AI to automate interpretation workflows.
We believe the future of geologic interpretation involves a split between routine tasks driven by AI and complex, creative work led by subject matter experts. This fusion of AI automation with human expertise will revolutionise the field, delivering data-driven insights at a speed and pace previously unimaginable while also fostering an environment for innovation and discovery.
Which topics will be covered?
Through the Digital Underground blog, we will deliver fresh, insightful content on a monthly basis that centres around the intersection of AI, geoscience, and the digital transformation of the energy industry.
Expect case studies showcasing real-world applications and successes of AI, explorations into the trustworthiness of Machine Learning results, insights into the OSDU data platform and modern data lakes, and discussions on the evolution and future of geoscience workflows.
We will guide you through the transformational impact of digitalisation and AI on subsurface analysis, from identifying overlooked opportunities in existing datasets, to characterising CO2 sites and optimising offshore wind placement.
Our first blog post is already out, so be sure to check it out:
Each article comes with additional downloadable resources to provide an in-depth exploration of these topics, and you can download our first ebook below:
- Free Ebook: Is my organisation ready for AI? 10 aspects to consider
- Free Ebook: AI-Driven Geoscience - A Paradigm Shift
Who is this blog for?
Whether you work with digitalisation, exploration, production or data analysis, our content aims to address how the challenges in the energy industry can be addressed through data liberation and AI-driven workflows, giving you a front-row seat to the revolutionary changes unfolding in geoscience analytics.
We have enlisted some of our most skilled and knowledgeable minds to contribute to our posts, drawing upon their extensive experience and deep understanding of the field.
This is a unique opportunity for you to benefit from the insights we've accumulated at Earth Science Analytics over the years.
This blog is more than just a platform for us to share our insights; it's a space for you to engage, ask questions, and explore alongside us. If you have any questions or topics you'd like us to cover, please, get in touch.
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