data analytics
-
The two companies have teamed up in an attempt to cut downhole costs with a project that aims to extract more information from reduced data-acquisition programs. -
SPE’s 2021 Open Subsurface workshop tackled the ins and outs of open source, open data, and open access.
-
The awards will be presented on 23 March at the Kuala Lumpur Convention Centre.
-
This article examines how clusters with different properties are produced by different clustering algorithms. In particular, it provides an overview of three clustering methods: k-Means clustering, hierarchical clustering, and DBSCAN.
-
SponsoredUnconventional wells produce massive amounts of data across a multitude of systems. Bringing all this data together increases efficiency, speeds screening, enhances smart decision-making, and ultimately returns greater production. Learn how PetroVisor can help.
-
SponsoredAre you ready? Data is an enterprise asset, underlying your ability to deliver on your commitments. But are you deploying it in ways that serve your strategic goals? Datagration makes the case for changing how you think about data management.
-
SponsoredRod lift failure frequency in horizontal wells drives significant operating expenses. Understanding why these failures occur leads to a solution — production optimization with automated setpoint changes, which can extend the life of this equipment and reduce downtime.
-
Earlier this year, 19 teams competed in a machine-learning contest held by the Data Analytics Study Group of SPE’s Gulf Coast Section. The was the first competition of its kind for SPE. Here, the organizers of the contest present some of the techniques used and lessons learned from the Machine Learning Challenge 2021.
-
Start-and-stop data management initiatives and a mishmash of partial solutions are no longer viable for managing the digital oil field. Data management should be transformed from a cost center to a cash-flow-generating function.
-
Expansion of operations in the Permian Basin has spawned a midstream water segment – one that uses data and analysis to enhance efficiency as well as manage produced water volumes.
