Production Optimization in an Oil Producing Asset - The BP Azeri Field Optimizer Case

Author:

Jalilova N.1,Tautiyev A.1,Forcadell J.2,Rodriguez J.C.2,Sama S.2

Affiliation:

1. BP Azerbaijan

2. Aspen Technology

Abstract

Abstract The Azeri Field Optimizer is a modeling and optimization platform that encompasses the requirements of offshore and onshore production teams in a single, unified decision support system. The tool supports the following functionalities: data gathering and conditioning, model validation and calibration, economic process optimization and what-if analysis. The Azeri Field Optimizer uses Aspen HYSYS, PROSPER, Microsoft Excel, Aspen IP.21 data historian and ad-hoc MS SQL databases. The heart of the tool is a high fidelity asset-wide model linked to an optimization solver that receives plant data from a centralized data historian (IP.21). The model uses a combination of first principles and bespoke algorithms to provide an accurate representation of all pressure-flow relationships, material balances and energy equations from the well bores to product delivery points. The tool has been designed around the existing asset workflows and processes to facilitate the adoption of the technology and it has been created in such a way that allows dynamic re-configuration of the model and optimization problem by automatically capturing equipment availability indicators. This enables the asset optimization team to perform accurate day-to-day production analysis and optimization studies in a timely fashion. The system has been tested in a number of real production situations where it has helped to:pinpoint hidden process behaviors that can be turned into an opportunity for economic improvement,identify process bottlenecks under various different production scenarios,co-relate offshore and onshore process constraints to find true overall optimums, andidentify potential oil production increases averaging 3%. This paper describes the technology and methodologies used for creating the Azeri Field Optimizer and discusses on the benefits achieved so far. Introduction Oil and gas production systems represent an intricate combination of standard process engineering and specialized petroleum engineering and geology. Although these disciplines base their knowledge in the same fundamental physical principles, they do not necessarily tackle problems from the same angle and/or using similar modeling tools. This dichotomy of backgrounds is directly observable in the interests and speeches of offshore and onshore production departments. In multitude of occasions (if not all) what can be an opportunity of improvement for the platform engineers represents a real challenge for the onshore personnel and vice versa.

Publisher

SPE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3