Speaker
Description
Drilling costs and CO₂ emissions in oilwell drilling are direct functions of the time spent on drilling operations. This is because all the energy used during the drilling operations is generated on site by diesel-electric systems. The longer the operations take, the greater the diesel consumption, and the higher are costs and emissions. However, drilling time varies significantly from one well to another. These variations stem from differences in rock properties, drilling equipment, operational conditions and drilling efficiency. Due to this complexity, traditional statistical methods are not sufficient to adequately analyze the operational results. In this study, we present regression models capable of capturing these complex relationships to provide a more accurate representation of the results in a field or sedimentary basin. The results offer new and useful insights for technical, operational, economic and contractual decision-making. An immediate application is supporting the assessment of testing new technologies and remunerating Turn-Key contracts. The conclusions of this work provide relevant and original contributions to the enterprise at the intersection of drilling engineering and environmental sustainability.
| Keywords | Petroleum Engineering. Drilling Cost Modeling. Environmental Preservation. |
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