Drilling parameters optimization :application of modern optimization method

Abstract

Rate of penetration (ROP) is one of the most critical parameters affecting virtually all drilling characteristics including technical, operational, economical, safety and other aspects of it. ROP evaluation may provide important information which can be applied to improve drilling efficiency, For this, good ROP model is required. Several ROP models are available in the industry which is derived based on both mechanistic and empirical methods. However, each model has its strengths and shortcomings, also The choice of ROP for every is dependent on variety of drilling parameter . All these parameter must be considered while choosing the proper ROP for drilling of every oil well so the objective of our study is to focus on the Optimization of the Drilling Parameters so in this thesis , we talk about some important ROP model and we chose in our study widely utilized method for drilling rate prediction that called Bourgoyne and Young’s Model and we try to predict the best optimal ROP by using some metaheuristic optimization techniques like PSO, MPSO and ABCO and we compare all the result founded to see the best technique . by the final results, we have find by many different tests and comparisons between PSO, M PSO and ABCO also by using some relative error , We final that ABCO achieves optimal convergence, optimum performance and optimum values.