Ann: Highly significant gas discoveries at Erregulla Deep-1, page-565

Out stand is next to Chesapeake Energy - and this a snapshot from their webpage using AI for well forecasting.


In 2023, the Haynesville Operations team went to their leadership with both a question and a solution. The question? How can we use machine learning (ML) and artificial intelligence (AI) to create more accurate and faster production forecasts? The team received approval to explore their solution — to create an AI-based program to better inform their production decision-making.With help from generative AI to write the coding, the team built the General Optimization Analysis Technology (G.O.A.T.) to combine large amounts of data (geologic, completions, production, and other engineering) from specific basins and analyze it — looking for trends and correlations throughout the complex relationships among the data.The tool helps our reservoir engineers by creating accurate, repeatable forecasts in minutes, a task that would have previously taken engineers and geoscientists months to do. These production forecasts can be used to determine optimum completion designs and well spacing as well as inform the team’s understanding of which projects to spend their time on to make the biggest impact.A consistent approach accounting for spacing, depletion, petrophysical properties, and other key drivers the teams identify helps to draw a conclusion on data that is otherwise inconclusive. This approach also ensures consistency in well-level forecasts.

All of that sounds pretty cool to me! Also sounds exactly what we need to use .............