An optimization model for monthly time-step drilling schedule under planned field production

Area of Science:

• Petroleum Engineering
• Operations Research

Background:

• Field production planning balances economy, security, and sustainability.
• Optimal drilling schedules are crucial for meeting production targets while minimizing operations.

Purpose of the Study:

• To develop a linear mathematical optimization model for well drilling schedules.
• To minimize production profile error and optimize drilling frequency and summation.

Main Methods:

• Treating well production processes as dependent time series and basic units.
• Ensembling time series into a tensor for calculation.
• Applying Lasso regularization and tensor calculation to formulate a linear optimization model.

Main Results:

• A linear mathematical model for optimizing well drilling schedules was developed.
• The model minimizes production profile error and optimizes drilling frequency and summation.
• The model can evaluate manual schedules and automatically generate optimized schedules, reducing planning time.

Conclusions:

• The proposed linear model offers a stable and efficient method for solving well drilling schedule optimization problems.
• It avoids complex nonlinear programming, providing a globally solvable approach.
• Detailed analysis of input parameters enhances understanding of their impact on drilling schedules and production profiles.