artificial intelligence and machine learning
Exebenus AS and Ops Excellence LLC have signed a partnership agreement to promote machine learning and automation solutions to oil and gas operators in Oman, with particular focus on the Exebenus Current ML™ Real-Time ROP Optimization and Stuck Pipe machine learning agents. “The partnership with Exebenus gives us the opportunity to support our clients in making a step change in their digital transformation,” said Michael Schonewald, Ops Excellence Managing Director.
Location Magdalena River Valley Basin, South America Challenge Differential sticking is a known risk in the depleted reservoirs of the mature Magdalena River Valley basin, causing operators significant nonproductive time (NPT) during drilling and tripping operations. Solution Monitor real-time feed remotely using Exebenus Current ML. Provide risk awareness of situations that can cause stuck pipe…
Location Offshore, deepwater, Malaysia Challenge Improve formation insight and increase drilling performance in a clay and sandstone environment known to cause slow rate of penetration (ROP). Solution Field trial real-time ROP optimization agent in a side-track well section. Run stuck pipe hole cleaning agent to understand risk of increased cuttings in suspension and cave-ins. Results…
SPE-208675-MS: Tim S. Robinson, Dalila Gomes, Exebenus; Meor M. Hakeem Meor Hashim, M. Hazwan Yusoff, M. Faris Arriffin, and Azlan Mohamad, PETRONAS Carigali Sdn Bhd; Tengu Ezharudin, Eswadi Othman, Faazmiar Technology SDN BHD
Abstracts: Despite many drilling technology improvements during recent years, hole cleaning remains a significant challenge. The variation of equivalent circulation density (ECD) is a symptom of borehole instability. Therefore, the ability to accurately estimate ECD is a key consideration for preventing hole cleaning problems that may lead to a stuck pipe, and well pressure management more generally.
OMEA2022-78423: Peter Batruny, PETRONAS Carigali Sdn Bhd, Tim Robinson, Exebenus
Abstracts: In recent years, the industry has sought insights from abundant data generated by drilling operations. One of the key focus areas is the rate of penetration (ROP) which impacts costs directly, and emissions indirectly. Previous work has succeeded in predicting and optimizing ROP, however was limited to specific fields and small-scale applications. This limitation stems from unobserved information between different fields or operations that often impacts model usability. This paper provides a new way of well planning by leveraging the power of unsupervised machine learning to deliver higher drilling efficiency, lower costs, and less uncertainty.
OTC-31680-MS: Timothy S. Robinson, Dalila Gomes, Exebenus, Peter Batruny, Meor M. Hakeem Meor Hashim, M. Hazwan Yusoff, M. Faris Arriffin, and Azlan Mohamad, PETRONAS Carigali Sdn Bhd
Abstracts: Drilling rate of penetration (ROP) is a major contributor to drilling costs. ROP is influenced by many different controllable and uncontrollable factors that are difficult to distinguish with the naked eye. Thus, machine learning (ML) models such as neural networks (NN) have gained momentum in the drilling industry. Existing models were either field-based or tool-based, which impacted the accuracy outside of the trained field. This work aims to develop one generally applicable global ROP model, reducing the effort needed to re-develop models for every application.
Exebenus joins Ops Excellence at the OPES, March 21-23 2022 in Muscat Oman. You can find us on stand 2001, 2002, 2101, 2102, 2201 & 2202. Monday, March 21, Olav Revheim, Exebenus CEO/CTO, presents in the Digital transformation theater.
The Exebenus team is excited to be at the IADC 2022, 8-10 March in Galveston, Texas. It is going to be a treat to meet and greet you in person. You can find us at stand 518.
Exebenus is looking forward to seeing and meeting people at the ADIPEC 2021, November 15-18, 2021. You can find us on the Mazrui booth, Hall 1 – Stand 1130.
Exebenus has partnered with Sigma Enterprises (Mazrui Energy Service company) a leading Energy Services & Technology provider in the Middle East region. The partnerships will deliver innovative power, combining both software and services to provide state-of-the-art digital solutions to the UAE and the rest of the Middle East.