Drilling automation
This study explores the use of autoencoder models with convolutional neural networks to present a framework and prototype for early and accurate kick detection during offshore oilwell drilling.
This paper presents the first global application of autonomous drilling in deepwater and the journey to reach optimal drilling parameters, integrating proprietary tools from the project’s business partners.
Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.
-
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. -
ExxonMobil’s rig automation experiment is accelerating, with plans to push the number of rigs in the system from three to nine. Drilling efficiency was improved by use of an automated pipe-handling system, which reduced the median time required for connection at one location by 20%.
-
Engineering career tip of the day: If you are using Microsoft Excel at work, don’t leave it open on your computer when your boss is nearby.
-
Drilling rig automation is increasing as the industry realizes its benefits. What about downhole automation of the drilling process, specifically directional drilling? What problems might it solve and what opportunities might it create? The opportunity is huge, if only we look in the right place.
-
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.
-
This paper describes how new technology was implemented and deployed through a downhole acoustic network through a sequence of runs in complex North Sea wells under managed-pressure conditions.
-
This paper discusses how oil and gas companies are using a new generation of AI-driven applications powered by computational-knowledge graphs and AI algorithms to create a digital knowledge layer for oil and gas wells that provides a timeline of significant well events.
-
Drilling systems automation (DSA) is moving into commercial activities on a broad front. Equipment suppliers are delivering automated drilling-control systems, and everyone (equipment suppliers, service companies, drilling contractors, operators) is delivering systems-automation applications.
-
The complete paper presents a process used to successfully implement a rig-based drilling advisory system (RDAS) across a mixed group of rig contractors.
-
The complete paper presents a drilling semantic framework that allows software solutions to achieve automatic and versatile self-configuration.
