Intellicess, Inc., presented “An Open Source Data Aggregation Platform on a Rig,” at the IADC DEC Q3 Technology Forum In Houston, TX on September 25. Dr Pradeep Ashok, Intellicess President and CTO, presented on behalf of the company.

M. Behounek, B. Millican, B. Nelson, M. Wicks, E. Rintala, M. White, T. Thetford, P. Ashok, D. Ramos: “Change Management Challenges Deploying a Rig-Based Drilling Advisory System,” paper SPE-194184-MS, presented at SPE/IADC International Drilling Conference and Exhibition, 5-7 March, The Hague, Netherlands, 2019.

The system used for this paper consists of a Rig-based Drilling Advisory System (RDAS) where new advisory information is displayed in the driller’s cabin running real-time pattern recognition algorithms to detect drilling dysfunctions. When a drilling dysfunction is encountered, a change in drilling parameters is suggested. Additionally, drilling parameters from offset wells are made automatically available for the driller’s use on the drilling screen. Through this process, we are entrusting the field personnel with a slightly higher level of technical responsibility. The team iteratively improved the system using feedback from drillers who used the RDAS.

Significant progress has been made on physics-based torque-and-drag (T&D) models that can run either offline or in real time. Despite its numerous benefits, real-time T&D analysis is not prevalent because it requires merging real-time and contextual data of dissimilar frequency and quality, along with repeated calibration, the results of which are not easily accessible to…

Apache Corporation will be presenting a paper jointly written with Intellicess, Inc., entitled: “Change Management Challenges Deploying a Rig Based Drilling Advisory System” at the SPE/IADC International Drilling Conference & Exhibition in the Hague, The Netherlands, on March 7th at 1430.  Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.

In recent years, detection and alerting systems have been applied to numerous drilling failures, including stuck pipe, fluid influx/loss, and drilling dysfunctions. But the detection of drillstring washout and mud pump failure has been left primarily to traditional methods that rely solely on standpipe pressure and pump rates or on ­measurement-while-drilling (MWD) sensor data. Drillers…

M. Shahri, T. Wilson, Taylor Thetford, B. Nelson, M. Behounek, A. Ambrus, J. D’Angelo, P Ashok: “Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study,” paper SPE-191426-MS, presented at the SPE Annual Technical Conference and Exhibition, 24-26 September, Dallas, Texas, 2018.

The drilling industry has made significant progress on physics-based torque and drag (T&D) models that can run either offline (pre-job or post-job) or in real-time. Despite its numerous benefits, real-time T&D analysis is not prevalent since it requires merging real-time and contextual data of dissimilar frequency and quality, along with repeated calibration whose results are not easily accessible to the user. Our goal is to implement a rig-based T&D advisory system which overcomes these obstacles.

A. Ambrus, P. Ashok, D. Ramos, A. Chintapalli, A. Susich, T. Thetford, B. Nelson, M. Shahri, J. McNab, M. Behounek: “Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics,” paper SPE-191797-MS, presented at the SPE Liquids-Rich Basins Conference – North America, 5-6 September, Midland, Texas, 2018.

The first step towards drilling optimization and automation is a reliable data acquisition and handling system. This includes receiving and processing different frequency data across multiple platforms and ensuring proper data quality. Once we implement such a platform, we can build different advisory solutions to improve drilling efficiency and move towards drilling automation. The developed Drilling Intelligence Guide (DIG) already enabled us to achieve the aforementioned goal and access different data (from contextual to high frequency) in real-time.

Armed with an abundance of surface and downhole sensors, today’s operators have access to unprecedented volumes of real-time drilling data. However, because they haven’t had the tools to quickly and accurately interpret it, the industry has yet to fully capitalize on this flood of information. The Intellicess Sentinel RT solution answers this challenge by cleansing…

This paper proposes a metric for quantifying drilling efficiency and drilling optimization that is computed by use of a Bayesian network. The network combines the identification of drilling dysfunctions (i.e., vibrational modes), autodriller dysfunctions, and mechanical-specific-energy (MSE) tracking into a single, normalized quantity that the driller can use to help decide which control parameters to…

Apache Corporation will be presenting a paper jointly written with Intellicess, Inc., entitled: “Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study,” at the SPE Annual Technical Conference & Exhibition in Dallas, TX (Sept. 24th-26th).  Intellicess representatives will be on site following the presentation to discuss the paper and answer questions.