Using Data Obtained from Drilling to Add Reservoir Context to Completions Analytics

In today’s world of "Big Data," the pumping data from every stage being fractured is likely being recorded and stored somewhere and in many cases being used in an analytical program to help optimize operations. Whether the goal is to improve operational efficiency, reduce costs, or improve production, this data can give vital insights to operators. However, one variable that has an overwhelming impact on fracturing responses is how the rock properties at the perforations vary, and without taking this into account, analytical models often fall short. During the process of drilling a well, there is an abundance of information collected including gamma ray, the strength of the rock being drilled, lithology and gas composition from mud logs, etc. This talk will discuss how this data is an integral part of providing insights into completion analytics. It can be used, for example, to identify rock types most associated with problem stages, or which rock types create the most productive fractures. This data can ultimately be used in applications such as optimizing drilling targets or adjusting completion designs based on localized rock properties.

Speaker

Kevin Wutherich is Chief Technology Officer at Drill2Frac, a company that leverages existing drilling data to provide near-wellbore rock properties and fluid distribution modeling on wells. Kevin has more than 20 years of experience in the oil and gas industry, including Director of Completions for Rice Energy and a 14-year career at Schlumberger working as a field engineer and stimulation domain expert in Pittsburgh, Europe, Oklahoma and Arkansas. He holds five patents and is a graduate from the University of Waterloo where he received a BASc in Chemical Engineering.