Integration of Prudhoe Bay Surface Pipeline Network and Full Field Reservoir Models

Author:

Litvak M.L.1,Clark A.J.1,Fairchild J.W.2,Fossum M.P.3,Macdonald C.J.3,Wood A.R.O.4

Affiliation:

1. BP Exploration

2. Fairchild, Ancell & Wells Inc.

3. BP Exploration (Alaska)

4. PGS Reservoir

Abstract

SPE Members Abstract An integrated reservoir, well tubing string, and surface pipeline network model of the Prudhoe Bay oil field has been constructed. The integrated model incorporates a new procedure for the simultaneous solution of the reservoir and surface pipeline network flow equations. It also includes an optimization technique to allocate well production rates. As a result of the effectiveness of the developed procedures, the new technology for integrated reservoir and surface facility modeling has been successfully applied to a facility optimization study of the giant Prudhoe Bay oil field. Introduction Business Motivation. Production from the Prudhoe Bay oil field is on decline. For this reason, optimal usage of the surface facilities is a major factor in reducing production costs. Along with other measures, production costs for Prudhoe Bay can be reduced by–defining the optimum surface facility structure and operating conditions (optimum number of separator stages and their connections, optimum separator pressure, etc.);–using any excess capacity in the Prudhoe Bay surface facilities to process third party fluid production from satellite oil fields. However, changes to the surface facility system will impact production from Prudhoe Bay wells. For example, tubinghead pressures for some Prudhoe Bay wells will increase if production from the satellite fields is conveyed to the separators via the existing surface pipeline network system. In this case, production rates for these wells would be reduced. Tools. Integrated compositional models of–the reservoir,–well tubing strings,–the surface pipeline network system,–separator banks, and central gas facility are constructed to evaluate the impact of facility modifications on well production profiles. The compositional reservoir model and its history matching will be described in a separate paper. The integration of the central gas facility and reservoir models is presented in Reference 1. In this paper, we describe the well tubing string and surface pipeline network models and their integration with the reservoir model. Model Objectives. The integrated reservoir and surface pipeline network model provides the capability to–allocate production well rates in a reservoir simulation from pressure constraints at the separator banks and from surface facility limits,–define optimum well assignments to high or low pressure flowline and separation systems–determine the impact of surface facility changes on a production profile. Normally, tubinghead pressure or bottomhole pressure is used for the well rate allocation in reservoir simulations. However, well tubinghead (or bottomhole) pressures change in time as a result of well gas-oil ratio and water cut variations, and these changes are difficult to predict. Challenges. Construction of an integrated model of the reservoir and surface pipeline network system for the Prudhoe Bay oil field is a very challenging and difficult problem for the following reasons: P. 435^

Publisher

SPE

Cited by 6 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

1. Optimization techniques for petroleum engineering: A brief review;International Journal of Modelling and Simulation;2021-09-03

2. Optimization methods for petroleum fields development and production systems: a review;Optimization and Engineering;2017-09-19

3. Integrated Optimization of Oil and Gas Production;Process Systems Engineering;2014-06-13

4. Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing;European Journal of Operational Research;2012-02

5. Integrated Optimization of Oil and Gas Production;Process Systems Engineering;2011-06-27

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