Intellicess, Inc., will be presenting a paper jointly written with Apache Corporation entitled: “A Real-time Slide Drilling Dysfunction Detection System to Assist Remote Directional Drilling Operations,” at the 2021 SPE Annual Technical Conference & Exhibition, September 21-23, 2021, in in Dubai, United Arab Emirates.  This session will occur September 22, 0945-1010.  Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.

Intellicess, Inc., will be presenting a paper jointly written with Apache Corporation entitled: “Natural Language Processing Applied to Reduction of False and Missed Alarms in Kick and Lost Circulation Events,” at the 2021 SPE Annual Technical Conference & Exhibition, September 21-23, 2021, in in Dubai, United Arab Emirates.  This session will occur September 21, 1545-1610.  Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.

P. Ashok, J. D’ Angelo, D. Ramos, M. Yi, T. Thetford, N. Younk, S. Bohlander, M. Shahri, M. Behounek: “A Probabilistic Belief System to Track the Cleanliness of a Hole in Real-Time,” paper SPE-204125-MS, presented at the SPE/IADC International Drilling Conference and Exhibition, Virtual, March 2021.

The paper proposes a method that relies on the detection of events over a long time horizon and the use of key parameters relating to such events to quantify hole cleanliness. These events are then related through duration and frequency to probabilistic features in a Bayesian network, to infer the probability that the hole cleaning process has been efficient or poor. These events are also weighted by their age to ensure that current beliefs are not strongly influenced by those that are far in the past. The method was deployed on a drilling advisory system and is currently used on rigs in North American land operations. The events and features found to be most relevant to quantifying hole cleanliness were the circulation rates during drilling, tight spots when moving the drillstring, bit hydraulics, and prolonged periods of inactivity. Proactive hole cleaning actions such as working of the pipe, off bottom circulation and pipe rotation were also considered. The Bayesian network model used by the proposed method was able to be run with low computational overhead (micro-seconds on a standard edge device) compared to a traditional cuttings transport model. This was enabled by an event logging procedure that keeps track of hole-cleaning events over time and consolidates several hours (days) of drilling information into relevant hole-cleaning features that can be processed quickly.

M. Yi, D. Ramos, P. Ashok, T. Thetford, S. Bohlander, M Behounek: “Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers,” paper SPE-204063-MS, presented at the SPE/IADC International Drilling Conference and Exhibition, Virtual, March 2021.

Detecting drilling dysfunctions from surface data is not always easy as downhole vibrations tend to get damped before they reach surface sensors. Building machine learning models to recognize patterns in the surface data requires vibration signals captured by downhole sensors for training purposes. Such datasets are not widely available and therefore a methodology to expand these datasets is highly desirable. This work explores ways to utilize data augmentation to artificially diversify and increase datasets to build better models.

Intellicess, Inc., will be presenting a paper jointly written with Apache Corporation entitled: “Time-series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers,” at the 2021 SPE/IADC Virtual International Drilling Conference & Exhibition, March 8-12, 2021.  This session will occur March 11, 1500-1530.  Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.

Intellicess, Inc., will be presenting a paper jointly written with Apache Corporation entitled: “A Probabilistic Belief System to Track the Cleanliness of a Hole in Real-time,” at the 2021 SPE/IADC Virtual International Drilling Conference & Exhibition, March 8-12, 2021.  This session, March 10, 1700-1730, explores some of the latest advancements in the digital drilling space including a novel approach to real time management of hole cleaning using a probabilistic approach. Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.

Intellicess is happy to announce the release of Sentinel RT Lite, a free version of our plug and play A.I. drilling advisory software. Sentinel RT Lite includes a state of the art real-time rig state back-end engine, that you can integrate into your system and workflows, free of charge. Get in touch with us if…

Intellicess recently hosted a booth at the 2020 SPE/IADC Drilling Conference in Galveston.  Thanks to everyone who was interested in the latest with Intellicess and our drilling advisory software products and services. If you would like to learn more, please reach out to us via the “contact” link on this website.

Sophisticated drilling-analysis software can help drillers set and modify weight on bit (WOB), rev/min, and other drilling parameters, but achieving acceptance of these software-based recommendations by a driller is complicated. Additionally, acceptance of changes to drilling techniques and modified work flows by a driller on one test rig is insufficient. The challenge is to scale…

Intellicess will be hosting a booth at this year’s SPE/IADC conference in Galveston, TX, on March 3-5, so please come by and meet our team, learn about what’s new and how we might help improve your drilling analytics and advisory efforts. We hope to see you at booth #208!