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Drilling Program Planning and Implementation

Drilling Program Planning and Implementation

Upon completion of this module, the participant should be able to: outline mud system specifications for individual hole sections based on well conditions and drilling objectives, establish basic well control requirements, specify circulating system requirements and evaluate hydraulics practices based on offset well performance, review offset bit performance as a basis for developing bit selection criteria for a new well, provide general recommendations for the drill string configuration and design of the bottomhole assembly, and review rig specifications and capabilities in the context of drilling program requirements. ​This webinar is categorized under the Drilling discipline.

SPE Drilling Uncertainty Prediction Technical Section Competition Results: ML Techniques to Detect, Assess, and Grade Drill Bits from Bit Images Captured at the Drill Site

SPE Drilling Uncertainty Prediction Technical Section Competition Results: ML Techniques to Detect, Assess, and Grade Drill Bits from Bit Images Captured at the Drill Site

Quickly evaluating damage to drill bits at the end of a run can help optimize future drilling operations. Image capturing technology has developed to where bit photos with sufficient resolution for image processing can be easily captured at the rig site. Machine Learning (ML) has also improved significantly over the last decade.