DSDE: In Practice

This paper describes how severe rig limitations were overcome through an optimization plan in which an optimal bottomhole assembly was designed and drilling practices were customized.

The survey was part of a project led by the University of Aberdeen, looking at the effects of decommissioning oil and gas structures on marine ecosystems.

This paper presents experiences from an automated drilling-fluids-monitoring initiative and resulting real-time hydraulic measurements and models for automatic drilling control.

This paper analyzes several configurations of convolutional neural networks suited for predicting upscaled fracture permeabilities and shape factors required to close a dual porosity/dual permeability model.

This paper describes a novel control scheme developed and tested on simulation for both hydrodynamic slugging and severe riser-induced slugging for a new facility in Angola.

The authors write that simple and straightforward observations on outcrops can be used to build 3D models that mimic geological relationships accurately.

TGS, BGP, and CGG signed an agreement with state-owned Staatsolie to acquire, promote, and license multiclient seismic programs, including new 3D acquisition, in the shallow waters offshore Suriname.

The authors describe how tools in machine learning are used to develop data-driven models that can be used for accurate and efficient fatigue-damage prediction for marine risers.

The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.

The downtime of manufacturing machinery, engines, or industrial equipment can cause an immediate loss of revenue. Reliable prediction of such failures using multivariate sensor data can prevent or minimize the downtime. With the availability of real-time sensor data, machine-learning and deep-learning algorithms can learn the normal behavior of the sensor systems, dis…