Horizontal Well Geosteering: Planning, Monitoring And Geosteering
Notice bibliographique
Résumé
Abstract The geosteering process should not be seen as a process solely designated for the most expensive or highest profile horizontal wells. It can be regarded as another tool for improving the odds of success by remaining in the productive zone for longer periods of drilling. Also, it can be used to optimize the positioning of a horizontal wellbore in the sweet spots within the reservoir. The current process has been successfully applied to large infill drilling programs at over 40 wells for heavy oil, tight gas, conventional oil and gas plays and for Mannville coalbed methane (CBM) in Alberta. The service has been provided irrespective of location, as long as the Wellsite Information Transfer Standard Markup Language (WITSML)/Pason Satellite service is available. Exploration and production (E&P) companies are continuously being driven to reduce the cost per barrel of oil equivalent (BOE). E&P needs and technologies related to advanced and accurate directional drilling, communication of vital data in real-time through the internet, as well as reduced cycle time associated with advanced forward-looking 3D geo-modelling and visualization technologies (Figure 1), are currently converging. The motivation to reduce costs has been responsible for advancing the horizontal well geosteering process by incorporating the Measurement While Drilling (MWD) tool into mainstream drilling practices. The universal economic benefits gained can be found in all resource play types (conventional oil and gas, heavy oil, tight gas and coalbed methane). It is important to note that the process described here is essentially collaborative. For best results, there must be cooperation between the E&P operational geologist, wellsite geologist, directional driller and geo-modelling staff, as well as the engineering consultants involved in the project (i.e. the team as a whole). Introduction Reducing Costs and Increasing Performance for Optimal Well Results Whether drilling a long reach horizontal well in heavy oil or a tight gas play, the basic requirements for a successful well are:Planning the optimal path based on the current knowledge of integrated geological/geophysical models.Monitoring the progress of the well through real-time updates by well profiles and 3D visualizations.Continuously re-mapping to identify the true stratigraphic position (TSP) of the bit relative to the reservoir. This information is used to provide advice to the drilling team for staying in the zone of interest while drilling.Timely reporting on the updated road map for the horizontal well to provide the information necessary for drilling ahead of the bit. Depending on the depth and/or rock type, the speed of drilling can range from very fast (200 m/hr in shallow heavy oil horizontals) to very slow (3 to 10 m/hr in tight formations). For fast or slower drilling, the geosteering process is used as a planning and monitoring tool. This reduces guesswork in the drilling process which translates into less drilling time for a given well, ultimately decreasing the total cost and increasing profits. The 3D geo-models can be updated every few minutes for structural changes and periodically for characterization of gamma ray (GR), resistivity and other reservoir attributes.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».