{"title":"一项具有成本效益的近场勘探、发现和评价研究","authors":"Megan Slade, P. Thomas","doi":"10.1080/22020586.2019.12073111","DOIUrl":null,"url":null,"abstract":"Summary Realising and protecting the value of near-field exploration and appraisal is a constant challenge, especially during the recent low oil price cycles. This paper discusses the 2015 Pyxis gas discovery, and the means by which a cost effective and value driven approach to data acquisition and optimisation drove the opportunity. The Pyxis field is situated approximately 10 km from the drilling manifold and centre of the Pluto Field. We will demonstrate how targeted studies, a carefully selected well location and data gathering programme when combined with a seismic survey synergies with the nearby Pluto Field, delivered a cost-effective, single-well discovery and appraisal. Pre-drill economic viability of Pyxis was challenged by the stratigraphic nature of the trap, significant seismic data issues, sub-tuning reservoir thickness and limited offset-well information. Opportunistic data gathering and cost-effective, detailed Quantitative interpretation (QI )work allowed these challenges to be overcome, and the prospect to be drilled. In the success case, the Pyxis-1 exploration well was planned to acquire sufficient data to obviate the need for further appraisal. Post-discovery evaluation continued the low-cost approach, using new Pluto Field seismic to assist reservoir characterisation. We conclude that this modest-sized, near-field opportunity has been optimized in terms of potential economic viability by using appropriate technology, targeted appraisal, and integration with nearby field activities.","PeriodicalId":8502,"journal":{"name":"ASEG Extended Abstracts","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pyxis – A study in cost-efficient near-field exploration, discovery and appraisal\",\"authors\":\"Megan Slade, P. Thomas\",\"doi\":\"10.1080/22020586.2019.12073111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary Realising and protecting the value of near-field exploration and appraisal is a constant challenge, especially during the recent low oil price cycles. This paper discusses the 2015 Pyxis gas discovery, and the means by which a cost effective and value driven approach to data acquisition and optimisation drove the opportunity. The Pyxis field is situated approximately 10 km from the drilling manifold and centre of the Pluto Field. We will demonstrate how targeted studies, a carefully selected well location and data gathering programme when combined with a seismic survey synergies with the nearby Pluto Field, delivered a cost-effective, single-well discovery and appraisal. Pre-drill economic viability of Pyxis was challenged by the stratigraphic nature of the trap, significant seismic data issues, sub-tuning reservoir thickness and limited offset-well information. Opportunistic data gathering and cost-effective, detailed Quantitative interpretation (QI )work allowed these challenges to be overcome, and the prospect to be drilled. In the success case, the Pyxis-1 exploration well was planned to acquire sufficient data to obviate the need for further appraisal. Post-discovery evaluation continued the low-cost approach, using new Pluto Field seismic to assist reservoir characterisation. We conclude that this modest-sized, near-field opportunity has been optimized in terms of potential economic viability by using appropriate technology, targeted appraisal, and integration with nearby field activities.\",\"PeriodicalId\":8502,\"journal\":{\"name\":\"ASEG Extended Abstracts\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASEG Extended Abstracts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/22020586.2019.12073111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASEG Extended Abstracts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/22020586.2019.12073111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pyxis – A study in cost-efficient near-field exploration, discovery and appraisal
Summary Realising and protecting the value of near-field exploration and appraisal is a constant challenge, especially during the recent low oil price cycles. This paper discusses the 2015 Pyxis gas discovery, and the means by which a cost effective and value driven approach to data acquisition and optimisation drove the opportunity. The Pyxis field is situated approximately 10 km from the drilling manifold and centre of the Pluto Field. We will demonstrate how targeted studies, a carefully selected well location and data gathering programme when combined with a seismic survey synergies with the nearby Pluto Field, delivered a cost-effective, single-well discovery and appraisal. Pre-drill economic viability of Pyxis was challenged by the stratigraphic nature of the trap, significant seismic data issues, sub-tuning reservoir thickness and limited offset-well information. Opportunistic data gathering and cost-effective, detailed Quantitative interpretation (QI )work allowed these challenges to be overcome, and the prospect to be drilled. In the success case, the Pyxis-1 exploration well was planned to acquire sufficient data to obviate the need for further appraisal. Post-discovery evaluation continued the low-cost approach, using new Pluto Field seismic to assist reservoir characterisation. We conclude that this modest-sized, near-field opportunity has been optimized in terms of potential economic viability by using appropriate technology, targeted appraisal, and integration with nearby field activities.