Northside: Innovative Approaches to Reservoir Productivity: Machine Learning, Frac Hits and Unconventional EOR
There has been a significant amount of progress made applying data science techniques in the oil and gas industry over the last few years. These applications have occurred in all aspects of upstream, midstream and downstream sectors, but it is perhaps fair to say that direct application to reservoir centric challenges has not enjoyed as much success as when it has been applied to aspects of the value chain that experience direct observation and measurement by operators (e.g. optimization of facilities). Reservoirs, by their nature, introduce vast degrees of uncertainty due to their imperfect characterization, and sporadic and low-density sampling. Here we touch on several reservoir workflows incorporating data science and dive deep in to specific example involving frac hit mitigation.
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