Alternative Real-Time and Historical Visualization of Cementing Operations Data
Notice bibliographique
Résumé
Abstract Many services on drilling rigs collect data electronically.The data is often either stranded on location or requires a substantial expense to send to head offices with proprietary equipment. Existing infrastructure already being paid for by the operator can be used to eliminate redundancy and efficiently send data from most services to head offices. While not a new concept, the process is being used by surprisingly few services. Cementing is the newest service to utilize this integration and is used to illustrate the concept in this paper. Introduction With the rising costs of products, services, and transportation, team leaders are mandated to increase efficiency and optimize operations. The best tool to show increased efficiency is data. Monitoring data will show performance history, current state, and how future improvements can be made.Drilling data is recorded and transmitted through the rig's satellite system. However, other services such as cementing typically record the data and transmit through their own proprietary real-time equipment or deliver the data to the operator at a later date. The challenge is to record all of the data in one place so that the operator does not have to sort through a stack of documents.Electronic drilling recorders (EDR) are installed on the vast majority of rigs in North America. The EDR records parameters from drilling operations, presenting and disseminating the information via a LAN on location. The parameters are sent off location via satellite and typically stored on a secure internet site. The internet is used to provide access (with appropriate security) to information about wells currently being drilled aswell as historical well information. The internet provides a convenient and inexpensive mechanism to store data and documents in a true electronic well file, to be disseminated and retrieved by the operator, partners, and service companies. In December 2004, the operator inquired as to whether it was ossible to record and transmit cementing data through the EDR. The ability to do so has existed for some time, but to the authors' knowledge, has never been conducted in Canada until this time. Communication between the cementing data and the EDR was conducted in the laboratory without issue. Field trialsfollowed shortly thereafter and proved to be just as successful. This interface connecting the cementing data to the operatoris a valuable asset. Real-time data is now transmitted to thisoperator's office on every cementing job conducted. Operator Challenge The operator's requirement to view cementing data in real time at minimal cost was achieved by requesting that the cementing companies add their specific data parameters to the general set collected by the EDR. This was done using wellsite information transfer standard (WITS), a common interface protocol. This new use of existing technology openscommunication and provides the team with the ability to make real-time decisions during the cementing job.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,007 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».