... and reactive geochemical species present in shale to evaluate whether injected surfactants are chemically stable under unconventional reservoir conditions. A transformation involving commonly used surfactants—alkyl ethoxylates (AEOs) and polyethylene glycols (PEGs)—was examined to determine whether these HFF...

... density predictor variable perforated interval length statistical analysis regression coefficient nonemulsifier transformation URTeC: 2903086 Oilfield Data Analytics: Linking Fracturing Chemistry and Well Productivity Daria Khvostichenko*1, Sergey Makarychev-Mikhailov1; 1. Schlumberger...

... that neural networks and random forests generated the best prediction of UCS and synthetic PE logs compared to other machine learning algorithms used. machine learning Artificial Intelligence correlation artificial neural network validation data transformation target variable well logging...

... asset management 2. Analysis adding automatic data validation and analysis to migrate data to actionable information in real-time 3. Optimization implementing intervention in real-time with automatic event detection and handling 4. Transformation transforming operations with innovative business...

... ppm. The high concentrations of the REEs in the Woodford Shale, as compared to the modern-day plants, are reflections of the transformations of buried Woodford Shale organic materials in post-depositional environmental conditions with potential contributions of exchanges of REE coming from associated...