Research on Quantitative Evaluation and Optimization Method of Multi-Scheme Drilling Engineering Design Parameters

The reasonable selection of drilling engineering design parameters is related to the success or failure of drilling operations. Traditional parameter optimization mostly relies on experience and single-index decision-making, and therefore fails to satisfy multi-dimensional engineering constraints such as drag and torque, wellbore trajectory and casing running, and lacks a systematic quantitative evaluation mechanism. To address the above problems, this paper proposes a quantitative evaluation and optimization method for drilling engineering design parameters based on multi-dimensional coupling. First, this method establishes a parameter system for drilling engineering design and analyzes the coupling relationships and constraint conditions among various parameters. The parameter system covers not only wellbore trajectory, drill string and casing parameters but also drilling fluid properties (density, yield point and gel strength) and formation rock strength (uniaxial compressive strength, UCS), which are treated both as model inputs and as feasibility constraints. On this basis, an exhaustive strategy is adopted to systematically traverse and discretely combine key design parameters, generating all possible parameter combination schemes. Subsequently, four engineering calculation modules, including wellbore trajectory design, drag and torque calculation, casing running capacity evaluation and a drilling fluid hydraulics and wellbore stability constraint module, are integrated to provide multi-dimensional quantitative analysis for each parameter combination scheme. Finally, a comprehensive evaluation model combining the analytic hierarchy process with the entropy weighting method is constructed to perform weighted scoring on the calculation results of each scheme and realize automatic scheme ranking and optimal scheme recommendation. Verified with a field case of a complex horizontal well, and after validating the calculation modules against measured hook loads, torques and casing running loads, the results show that reasonable parameter combinations can significantly improve engineering performance, effectively reducing the risk of drag and torque and casing running, with the comprehensive score increased by 18.0%. The practicability and effectiveness of the method are verified, providing a new idea and method for quantitative optimization of drilling engineering design parameters.