Abstract

Oil exploitation has moved into deeper reservoirs with the advances in drilling techniques and thus the development of new pumping techniques has become a challenge to improve production. The positive displacement pumping system proposed in this paper is presented as an artificial lift technique. Here we present a new pumping device, its estimated operational curves through numerical simulations and a prototype of the device, denominated a Double Acting Submersible Linear Pump (SLP), which is a hydraulic system adapted for inside well operations. Design parameters used in the tests were optimized using the Particle Swarm Optimization (PSO) algorithm to maximize oil production while optimizing the parameters (characterstics) of the pump, such as maximum pump diameters and submersible electric motor power, pressure and volumetric displacement of the hydraulic pump. Also presented are the operating curves estimated from the numerical simulation of the power and pump modules, as well as the SLP0 and SLP1 experimental test curves in a controlled environment using the optimized parameters obtained using PSO The data obtained were compared to the computational simulations performed with the Automation Studio™ software. The SLP0 and SLP1 optimal design tests showed the importance to delimit the range of operation within which the SLP must operate, since the pipes and hydraulic components must be suitable for the flow of hydraulic oil and the production oil. The findings presented here play an important role in the production process of a fully operational SLP prototype.

Highlights

  • Varius technologies and methods of artificial lift are currently used in aquifers and in underground oil reservoirs

  • Tests is because their configurations are less complex, with lower manufacturing costs, as well as the latter being the double-acting pump chosen to develop a fully operational prototype

  • We present the average of the results of the Particle Swarm Optimization (PSO) algorithm for 15 particles and maximum of 20 optimizations per particle and using the search space determined according to Table 1

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Summary

INTRODUCTION

Varius technologies and methods of artificial lift are currently used in aquifers and in underground oil reservoirs. The PSO algorithm proved to be an effective tool for finding the optimal gains for the backstepping controller in both observed and measured states Based on this scenario, this work presents a displacement artificial lift method called SLP (double acting submerged linear pump). In this work the power actuator force (FAP) is considered to be the corrected force required to lift the production or the corrected design force This force must be adjusted in order to compensate for the friction losses of the drive of the power actuator itself, as well as of the pump actuator and the fluid flow in the pipes. Accept the new solutions 5) Current best harmonics are the best solutions

COMPUTATIONAL SIMULATION
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