技术报告

Electric Cost Optimization for ESP Saves Estimated USD 480,000 for Cepsa

已发表: 04/17/2017

技术报告

Electric Cost Optimization for ESP Saves Estimated USD 480,000 for Cepsa

已发表: 04/17/2017

Graph: Using Lift IQ service, Schlumberger monitored the ESP operational data for the Caracara Sur field, evaluated the statistical information, and also reviewed production trends, surface and downhole variables, well intervention history, failure cause, and total electric cost and consumption.

Using Lift IQ service, Schlumberger monitored the ESP operational data for the Caracara Sur field, evaluated the statistical information, and also reviewed production trends, surface and downhole variables, well intervention history, failure cause, and total electric cost and consumption.

Based on this evaluation, Schlumberger used DesignPro software and PIPESIM simulator to optimize electric cost for the ESPs, reducing electric costs by 16% per month across three wells—an approximate savings of USD 79,000 per year. Once introduced to the remaining wells, total savings are expected to reach USD 480,000. This optimization enabled Cepsa to reinvest these expenses in other operational areas and improve overall electrical stability and infrastructure.

地点

Colombia, South America

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Colombia
Caracara Sur

GOR, ft3/bbl [m3/m3]
200 35,615]

Bubblepoint pressure, psi [MPa]
150 [1.03]

Bottomhole pressure, psi [MPa]
1,200-2,300 [8.3-15.9]

Pump setting depth, ft [m]
4,000-6,000 [1,219-1,829]

Well depth, ft [m]
6,000-8,000 [1,829-2,438]

背景

With the current economic climate, the Schlumberger ASLC encouraged Compañía Española de Petróleos (Cepsa) to evaluate system operations to increase efficiency. The installed ESPs were designed based on predicted reservoir and production conditions. However, at the current stage of production, the ESPs were encountering 90% water cut with motor load of less than 45%, which made them inefficient and expensive to run.

Electric Cost Optimization for ESP Saves Estimated USD 480,000 for Cepsa

Electric Cost Optimization for ESP Saves Estimated USD 480,000 for Cepsa

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