DSDE: In Practice

The industry increasingly relies on forecasts from reservoir models for reservoir management and decision making. However, because forecasts from reservoir models carry large uncertainties, calibrating them as soon as data come in is crucial.

A group of people who really care how drillers code the memos added to the daily drilling report is the data scientists—who find that the coded tags do not match the activity. A program that helps drillers code is one of three technologies featured in a JPT series on drilling measurement innovation.

A system proposed by researchers at the University of California, Santa Barbara, uses hyperspectral imaging and machine learning to detect the specific wavelength of methane emissions.

Egypt Upstream Gateway, a national project for digitizing subsurface information and delivering a digital subsurface platform, will build on Schlumberger’s GAIA digital subsurface platform.

Aker BP showcased the Spot robot recently. Spot will be part of the company's initiative that will explore how robotics systems can be used to make offshore operations safer.

Using the supplied data set of cone penetration test results, competing teams had to predict the number of hammer blows required to drive the pile a given unit of depth in the North Sea.

The company claims the supercomputer, known as HPC5, is the world’s most powerful for industrial use.

This paper shows how high-frequency, real-time drilling data from wired drillpipe has helped optimization of drilling performance and achievement of additional improvements in the New Mexico Delaware Basin.

GHGSat announced a new service for visualizing greenhouse-gas emissions. The interactive online resource will be freely available and will be formally launched during COP26 in November.

This paper updates a previous case study and presents the results of actual implementation of an optimized steam-injection plan based on the model framework.