An Independent Analysis of the Performance Characteristics and Economic Outcomes of the Liza Phase 1 Development Offshore Guyana Using Public Domain Data

S. Paul, Kadija Dyall, Quinn Gabriel
{"title":"An Independent Analysis of the Performance Characteristics and Economic Outcomes of the Liza Phase 1 Development Offshore Guyana Using Public Domain Data","authors":"S. Paul, Kadija Dyall, Quinn Gabriel","doi":"10.2118/200951-ms","DOIUrl":null,"url":null,"abstract":"\n An attempt was made to independently verify the proposed performance of the Liza 1 field using only data available in the public domain. The data used in modelling was sourced from news reports, company disclosures and the analogue Jubilee field in Ghana. Reservoir rock and fluid data from Jubilee Field was deemed an appropriate fit because of the corroboration provided by the Atlantic Drift Theory.\n A major challenge in creating the model, was determining the aerial extent of the field. According to Yang and Escalona (2011), the subsurface can be reasonably approximated using the surface topography which is possible via the use of GIS software. Google Earth Pro software was used to estimate the coordinates and areal extent of the Liza 1 reservoir. A scaled image of the field location showing the Guyana coastline was re-sized to fit the coastline in Google Pro and then the coordinates for the Liza field and wildcat well locations were estimated. This was used to create the isopach map and set reservoir boundaries to create the static and dynamic models in Schlumberger's Petrel E & P Software Platform (2017) and Computer Modelling Group IMEX Black Oil and Unconventional Simulator CMG IMEX (2016).\n The initialized model investigated the reservoir performance with and without pressure maintenance over a twenty (20) year period. The original oil in place (OOIP) estimated by the model was 7% larger than the OOIP estimated by ExxonMobil for Liza field. The model produced 35% of the OOIP compared to 50% of OOIP as forecasted by the operators. (See Table 1). The factors that strongly influenced this outcome were, the well positioning and the water injection rates. A significant percentage of the oil remained unproduced in the lower layers of the model after the 20-year period. Time did not permit further modelling to improve the performance of the model.\n Table 1 Comparison of The Created Model and ExxonMobil's Proposal for Liza. Property ExxonMobil's statement on Liza field Modelled field Result Original Oil in Place (MMbbl) 896 967 Oil Recovery Factor (%) 50 35\n Gas production from the model would be used as gas injection from three injector wells and as fuel for the proposed 200 MW power plant for Guyana. Even so, significant volumes of natural gas remained unallocated and subsequently a valuable resource may have to be flared.","PeriodicalId":11142,"journal":{"name":"Day 3 Wed, June 30, 2021","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Wed, June 30, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/200951-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

An attempt was made to independently verify the proposed performance of the Liza 1 field using only data available in the public domain. The data used in modelling was sourced from news reports, company disclosures and the analogue Jubilee field in Ghana. Reservoir rock and fluid data from Jubilee Field was deemed an appropriate fit because of the corroboration provided by the Atlantic Drift Theory. A major challenge in creating the model, was determining the aerial extent of the field. According to Yang and Escalona (2011), the subsurface can be reasonably approximated using the surface topography which is possible via the use of GIS software. Google Earth Pro software was used to estimate the coordinates and areal extent of the Liza 1 reservoir. A scaled image of the field location showing the Guyana coastline was re-sized to fit the coastline in Google Pro and then the coordinates for the Liza field and wildcat well locations were estimated. This was used to create the isopach map and set reservoir boundaries to create the static and dynamic models in Schlumberger's Petrel E & P Software Platform (2017) and Computer Modelling Group IMEX Black Oil and Unconventional Simulator CMG IMEX (2016). The initialized model investigated the reservoir performance with and without pressure maintenance over a twenty (20) year period. The original oil in place (OOIP) estimated by the model was 7% larger than the OOIP estimated by ExxonMobil for Liza field. The model produced 35% of the OOIP compared to 50% of OOIP as forecasted by the operators. (See Table 1). The factors that strongly influenced this outcome were, the well positioning and the water injection rates. A significant percentage of the oil remained unproduced in the lower layers of the model after the 20-year period. Time did not permit further modelling to improve the performance of the model. Table 1 Comparison of The Created Model and ExxonMobil's Proposal for Liza. Property ExxonMobil's statement on Liza field Modelled field Result Original Oil in Place (MMbbl) 896 967 Oil Recovery Factor (%) 50 35 Gas production from the model would be used as gas injection from three injector wells and as fuel for the proposed 200 MW power plant for Guyana. Even so, significant volumes of natural gas remained unallocated and subsequently a valuable resource may have to be flared.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用公共领域数据对圭亚那近海Liza一期开发项目的性能特征和经济成果进行独立分析
我们尝试仅使用公共领域的可用数据来独立验证Liza 1油田的性能。建模中使用的数据来自新闻报道、公司披露和加纳的Jubilee模拟油田。由于大西洋漂移理论的证实,Jubilee油田的储层岩石和流体数据被认为是合适的。创建模型的一个主要挑战是确定该领域的空中范围。根据Yang和Escalona(2011)的说法,地下可以通过使用GIS软件使用地表地形来合理地近似。利用谷歌Earth Pro软件估算Liza 1水库的坐标和面积范围。将显示圭亚那海岸线的油田位置的缩放图像重新调整大小,以适应谷歌Pro中的海岸线,然后估计Liza油田和wildcat井位置的坐标。在斯伦贝谢的Petrel e&p软件平台(2017年)和计算机建模组IMEX黑油和非常规模拟器CMG IMEX(2016年)中,该技术被用于创建等厚图和设置油藏边界,以创建静态和动态模型。初始化模型研究了在20年的时间里,在有压力维持和没有压力维持的情况下,储层的表现。该模型估计的原始储量(OOIP)比埃克森美孚对Liza油田估计的OOIP大7%。该模型产生了35%的OOIP,而作业者预测的OOIP为50%。(见表1)。影响这一结果的主要因素是井位和注水速度。在20年的时间里,在模型的下层仍有很大比例的石油未开采。时间不允许进一步建模以改进模型的性能。表1创建的模型与埃克森美孚对Liza的提议的比较。ExxonMobil关于Liza油田的声明模型油田结果原始产油量(百万桶)采收率(%)50 35模型生产的天然气将作为三口注水井的注气,并作为圭亚那拟建的200兆瓦发电厂的燃料。即便如此,仍有大量的天然气未被分配,随后一种宝贵的资源可能不得不被燃烧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Evaluating the Lower Cruse and Navet Formations Within the Wd-8 Lease Operatorship Block Experimental Separation Performance of In-Line Piggable Liquid Removal Unit – Pseudo Dry Gas Systems 20 Years of Independent Oil and Gas Audits: The Trinidad and Tobago Story An Intelligent Completion and Artificial Lift Technology to Develop Large Carbonate Reservoirs: Novel Completion and Zonal Water Injection via Remote Control Methods to Develop Horizontal Wells Development Features of Cold Production with Horizontal Wells in a Foamy Extra-Heavy Oil Reservoir
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1