Implementation of Drilling Systems Automation - Halifax Workshop Summary: Industry Standards, Business Models and Next Steps
Bibliographic record
Abstract
Abstract The SPE Drilling Systems Automation Technical Section (DSATS) is a committee tasked with supporting the growth and implementation of drilling automation. In September 2014, DSATS held a dual-stream workshop in Halifax, NS, Canada with focus on both the technical and business issues relating to implementation of this new technology. The workshop identified key business issues, both blockers and enablers and, for the first time, proposed a step towards a potential industry technical guideline that allows the machines and models used in drilling to communicate in real time. Workshop participants identified future actions that will continue to advance the development of drilling automation. This paper summarizes both the topics presented and the actions identified as necessary to advance the implementation of drilling systems automation. The workshop used two parallel tracks: a technical track dealing with the communications technology needed for drilling systems automation, and a business track focused on technology implementation issues. This novel format spurred a crosspollination of ideas since attendees were free to attend either track and switch between tracks during the conference, thereby contributing to topics of interest. The technical track included work to define a common interface for equipment control based on the OPC-UA communications protocol and a rig information model, or data dictionary, which is necessary for modeling the process of drilling a stand using normal drilling machinery. The business track examined issues surrounding the use of large data sets, sensors and problems encountered when using them, reliably, in real time. Participants discussed their concerns with existing drilling contracts which do not always cover the legal responsibilities of all parties involved in the construction of a well using an automatic drilling system. The workshop developed a rig information model as a guideline for data communications in the automation of drilling a stand. This model will be the basis for developing an open standard that all interested parties can use in creating drilling automation products. Additionally, the workshop initiated the work on transferring drilling automation technology into the open business arena. DSATS working groups and future planned workshops will further explore critical topics, such as data quality, modeling, and simulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".