Bottom Hole Assembly Selection Using Capability Scoring
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Solution Overview
Problem
Conventional drilling technologies struggle to effectively gather and process downhole sensor data in a timely manner, leading to increased drilling errors and costs due to the complexity of deep and directional boreholes, which can permanently lower well output.
Innovation Solution
A system and method for selecting a bottom hole assembly (BHA) using a computing device to analyze formation information, neutral capability, steering capacity, and sliding ratio scores, determining an overall score for each BHA, and displaying the optimal BHA for drilling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional drilling technologies are used, then drilling operations can be conducted, but drilling errors increase and drilling accuracy decreases due to inability to timely process downhole sensor data
Solution Approach 1:
The system pre-calculates multiple possible wellbore trajectories and evaluates different BHA configurations before actual drilling begins. This preliminary analysis allows the drilling team to select the optimal BHA and trajectory combination in advance, reducing real-time decision-making errors and improving drilling accuracy from the start of operations.
Solution Approach 2:
The system continuously monitors downhole sensor data during drilling operations and compares actual drilling parameters against predicted performance. This real-time feedback enables dynamic adjustment of drilling parameters and trajectory, correcting errors before they significantly impact well output and maintaining high drilling accuracy throughout the operation.
2Measurement precision
If multiple BHA options are evaluated using comprehensive data analysis, then drilling accuracy improves, but computational time and processing complexity increase
Solution Approach 1:
The system pre-calculates and stores performance characteristics, scoring metrics, and trajectory predictions for multiple BHA configurations before the drilling operation begins. This preliminary computation creates a ready-to-use database of evaluated options, allowing rapid BHA selection during actual drilling without requiring time-consuming real-time analysis of each configuration.
Solution Approach 2:
The system employs a standardized scoring methodology that transforms complex multi-parameter BHA evaluations into comparable numerical scores. By converting diverse performance metrics (drilling rate, trajectory control, stability) into unified scoring parameters, the system enables rapid comparison and selection of BHAs without analyzing each parameter in detail, significantly reducing selection time while maintaining accuracy.
Data Source
AI summary
A method can include a computing device receiving a drill plan for the borehole. The drill plan can include survey information providing formation information for one or more sections of the borehole. The method can include accessing a plurality of capability data for one or more bottom hole assemblies that may include: a neutral capability score, a steering capacity score, and a sliding ratio score. The method can include determining an overall score for each of the one or more bottom hole assemblies based at least in part on the neutral capability score, the steering capacity score, and the sliding ratio score. The method can include determining, by the computing device, a select bottom hole assembly of the one or more bottom hole assemblies based at least in part on the overall score. The method may include displaying the overall score and an identification of the select bottom hole assembly.