SPE Online Education
Systems automation consumes digital data. Without reliable known data automation systems are inherently unstable. The problem is compounded when users do not own or control the measurements systems, as is required for interoperability. It is therefore important to understand the quality and reliability of the measurement systems being used in drilling automation, and to take steps to ensure that measurement systems are transparent. This webinar will explore significant work in this area, based on published SPE papers.
This first topic is based on SPE 174874 “A Framework for Transparency in Drilling Mechanics and Dynamics Measurements”, which examines the current confusion that exists in drilling mechanics and dynamics measurements. It recommends measurement practices and good processing techniques of these measurements, with examples, and presents a recommended open measurement framework. Adoption of this framework will resolve the current state of confusion and uncertainty, enable all parties to develop monitoring, advising and control applications that use these data, and help lower well costs and improve borehole quality.
The second topic is based on SPE 189626 “ Operator’s Group, Rig Contractors, and OEM/Service Company Work to Solve Rig data Quality Issues”, which looks at quality issues with rig measurement systems, proposing quality practices among data providers and consumers. Widely adopted practices will support and drive requirements for sensor quality, calibration, field verification and maintenance. This standardization enables improved drilling operations, automation, data analysis and big data processing.
The final topic will explore SPE 194082 “Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges” which proposes creating an open source repository of models, source code and data. The intent is to encourage the reuse of continuously improving models and coding efforts, and good data sets for verifying and validating the models. An open source repository for drilling will speed up the rate of learning and automation development.
This webinar is categorized under the Management and Information discipline.
All content contained within this webinar is copyrighted by John Macpherson, Paul Pastusek, Michael Behounek and Richard Harmer and its use and/or reproduction outside the portal requires express permission from John Macpherson, Paul Pastusek, Michael Behounek and Richard Harmer.
Chief Consulting Scientist, Drilling Services, Baker Hughes, a GE Company
During his more than 40 years in the oil industry John has participated in exploratory drilling operations -- primarily in remote areas of South Amercia -- and in various positions in drilling research. His focus has been on exploration and drilling: starting with geology, through geomechanics, drilling modeling, to drilling dynamics and drilling systems automation. He has published about 40 papers, holds more than 30 granted patents, is a past Chairman of the SPE DSATS, and a member of the JPT editorial committee.
Drilling Mechanics Advisor, Wells Technical Organization, ExxonMobil Upstream Integrated Solutions
Paul has 41 years of experience working on drilling mechanics issues. His areas of expertise are: automation, drill string dynamics, steerable systems, borehole quality, bit applications, cutting mechanics, rig instrumentation and control systems, and failure analysis. Paul has a BSME from Texas A&M University and a MBA from the University of Houston. He is a Registered Professional Engineer, holds 39 US patents and has written 25 papers on drilling technology.
Head of Drilling and Completions, Apache Corporation
Michael leads a team of experts who support global operations and pursues technology advancement to drive improvement, increase value to Apache. He is a degreed Mechanical Engineer from University of Michigan with a Master’s in Business from Pepperdine. His 37 years of experience lies in drilling engineering, operations, performance improvement, and contracting. In technology, he has led numerous projects in drilling mechanics and dynamics, rig design and drilling automation. Current projects include an agnostic, edge drilling advisory system deployed to all of Apache rigs for the past three years.
Architect, Schlumberger’s Well Construction Platform
Richard has been with Schlumberger for 19 years where he started his career as an MWD engineer, and has subsequently held positions as a; Drilling Domain Expert, Product Champion, and a Program Manager for land drilling rig development. Richard’s technical interests include drilling mechanics and dynamics, drilling interpretation and inference, and drilling automation. He has authored and/or co-authored more than 10 technical papers and holds 4 patents. He holds a Masters in Mechanical Engineering from Loughborough University in the UK.
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