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Making historic fracture design evaluation easier with machine learning

Making historic fracture design evaluation easier with machine learning

by Jessica Iriarte | Oct 1, 2020 | Completions, Data Analytics, Data Science, Machine Learning

At the most basic level, hydraulic fracturing’s main objective is to fracture the rock to stimulate the flow of hydrocarbons. When completion engineers design a frac job, their priorities are to optimize that flow while adhering to operational, budgetary, and...
Active Well Defense: is near-real time evaluation possible?

Active Well Defense: is near-real time evaluation possible?

by Jessica Iriarte | Apr 22, 2020 | Completions, Data Analytics, Data Integration, Data Science, Industry Insights

The topic of fracture-driven interactions has been among some of the industry’s top headlines, perhaps not in the last several weeks but certainly in the previous year, if not longer. Whether you call it frac hits, frac bashing, well interference, or fracture-driven...

Predict Trouble Stages Using Rock and Frac Data

by Jessica Iriarte | Jan 24, 2019 | Completions, Data Integration

Integrating Rock Properties and Fracture Treatment Data to Help Optimize Completions Design In case you missed this paper on the Society of Petroleum Engineers (SPE) OnePetro website, a team of experts from Hawkwood Energy, FractureID, and Well Data Labs describe how...

Data Frequency: Every Second Matters

by Jessica Iriarte | Mar 1, 2018 | Data Integration, Data Science

Data Resolution – Why is it important? New software is allowing companies to capture and store more granular data than ever. In O&G, specially in completions operations, some of the most detailed data is acquired off  field equipment at a one-second level....

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