Geotechnical Services

We are developing cutting-edge capability in data science and expect to file our first patents this year. You already know that providing a single version of the truth to all your structured and unstructured data is important. That integrating proprietary and public data, and making it accessible through multiple devices is valuable. That providing “analysis-ready maps” to your geoscientists and engineers fosters collaborative decision making. And so on. But the road to this data utopia is paved with pitfalls. We have made our share of mistakes and learned from them.

Three important lessons we learned are:

• Change is Hard: Geoscientists and engineers only accept a change that makes their life easier. This means the solution should be reversed engineered from what they do with applications. We have a deep knowledge of workflows supported by PETREL, DecisionSpace, etc., and how these applications store and manipulate data.  We also understand how these backbone applications interact with auxiliary applications such as Move, Trinity, FrontSim, etc.
• Speed is Imperative: Management will want to control costs. Fast deployment saves cost. We can reduce time through multi-language scripting to automate processes and data science techniques for data cleanup.
• Future is Near: Transfer learning is rapidly bringing existing capabilities in neural networks for facial recognition to geoscience interpretation, support vector machines for engineering analysis, and so on. Specific data organization is required to efficiently use these capabilities. We are investing heavily in bringing data science to our industry and clearly understand the data prerequisites.