Identify Underperforming Wells using Geospatial Data and Generative AI

Identifying underperforming wells is a crucial aspect of efficient oil and gas operations. Underperforming wells can significantly impact profitability, resource allocation, and operational decision-making. By promptly recognizing and addressing underperforming wells, companies can take proactive measures to mitigate losses and optimize production. However, pinpointing underperforming wells is a formidable task due to the complexity and diversity of data involved. Geographical information systems (GIS), geospatial analysis, and generative artificial intelligence (Gen AI) technologies offer a powerful combination for tackling these challenges. By integrating production data, well logs, and GIS data into a centralized platform, users can leverage natural language queries to interrogate the data and uncover the business-critical insights. The Gen AI tools, equipped with spatial reasoning capabilities, can analyze production data, well characteristics, and geographic factors to identify underperforming wells and provide explanations for their suboptimal performance. As Gen AI technology continues to evolve, its potential to revolutionize subsurface data management and analysis will only grow, providing valuable solutions to the challenges faced by the energy industry.