In this work, we present our unique technology to develop and apply digital twins for drilling
fluids and associated wellbore phenomena during drilling operations. A drilling fluid digital …

In drilling operations, the rheological properties of the drilling fluid ('mud') are measured at
rigsite at ambient temperature using sensors in real-time. These measurements, however …

In this paper, we present an accurate semiempirical rate of penetration (ROP) predictive
model for polycrystalline diamond compact (PDC) bits. Our model is inspired by the model of …

In this work, we develop and apply an offset well data analysis framework to generate a
digital twin that is representative of bit state. We also strive to produce performance maps for …

Closed-loop field development (CLFD) optimization is a comprehensive framework for
optimal development of subsurface resources. CLFD involves three major steps: 1) …

In this work, we present our advances to develop and apply digital twins for drilling fluids
and associated wellbore phenomena during drilling operations. A drilling fluid digital twin is …

This study introduces a comprehensive and automated framework that leverages data-
driven methodologies to address various challenges in shale gas development and …

When reviewing the evolution of completion designs during the last 5 years in the different
unconventional plays located in United States and Canada, a common trend is clearly …

Whipstock casing exits are a milling operation that enable operators to sidetrack from a
primary wellbore. This paper describes a prescriptive data analytics workflow that was …

Data-driven decisions powered by machine-learning methods are increasing in popularity
when it comes to optimizing field development in unconventional reservoirs. However, since …