Day 4 Fri, September 08, 2023最新文献

{"title":"Slickline Deployed Fibre Optic Cable Provides First Ever Production Profile For High Temperature Gas Well","authors":"S. Berry, D. Dirya, G. Cowie, A. R. Hooker, R. Innes, R. Gray","doi":"10.2118/215512-ms","DOIUrl":"https://doi.org/10.2118/215512-ms","url":null,"abstract":"\u0000 Distributed Fiber Optic Sensing (DFOS) allowed us to continuously gather flow profile information from a high-temperature high-rate gas well. The objective of this case study is to demonstrate that Distributed Temperature and Distributed Acoustic data, thermal inversion modelling can be used to produce a Production Flow Profile in an environment where conventional production logging was not possible.\u0000 Cerberus modelling was performed, concluding there was a risk of tool lift whereby a conventional production logging tool string is deployed during flowing states. Therefore, a 0.181\" diameter fiber slickline was selected to allow a continuous measurement over the accessible perforation interval at multiple rates without the risk of tool lift. A program consisting of a memory production log, run by standard slickline cable to acquire a shut-in profile looking for potential crossflow was followed by a DFOS run to gather DAS and DTS data during shut-in and flowing rates of 30 MMSCF/Day and 60MMSCF/Day. Near real-time DTS data was analyzed to aid in the evaluation of temperature stability at each rate change, and DAS data was processed at the wellsite to enable transmission to and analysis onshore.\u0000 DFOS data was successfully acquired and processed at wellsite and transmitted to town allowing for monitoring of data quality and decision making during the intervention. A complete suite of DAS/DTS data was acquired over the perforated interval at multiple flow rates, facilitated by monitoring near real-time transient behavior which aided in decision making for rate changes. Thermal inversion modelling and DAS analysis were performed, providing evidence of crossflow during shut-in and variations of flow allocation during the differing flow rates. It was observed that surveying at lower flow rates would have provided a different flow profile compared with normal operating rates.\u0000 As a result of deploying DFOS, data could be acquired at more realistic rates. Through performing thermal inversion of the DTS data and analysis of the DAS data a more accurate flow profile was achieved. This is the first profile to be acquired in the field for use in reservoir simulation and production modelling. This will result in more accurate reservoir and well optimization. This is a layered sandstone reservoir with a two-thirds production drop since start-up in this well. Approximately 80% of production was produced from one zone and surveillance to plan remedial action was essential to maintain economic production.","PeriodicalId":178397,"journal":{"name":"Day 4 Fri, September 08, 2023","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132712767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Holistic Approach to Data Interpretation Combines the Strengths of Ultra-Deep Electromagnetic Tools with Shallow Logging While Drilling Data to Improve Reservoir Understanding","authors":"K. Riofrio, N. Clegg, L. Rawsthorne, S. Kolsto, J. Mouatt, A. Bang, A. Chatterjee","doi":"10.2118/215519-ms","DOIUrl":"https://doi.org/10.2118/215519-ms","url":null,"abstract":"\u0000 Understanding the geological setting and architecture in which a well is drilled is key to achieving optimal well placement, enhancing reservoir production and for future reservoir exploitation with the planning of additional wells. The planning of production wells is accomplished using different data sets with different resolutions, but understanding the subsurface geology is key to linking the data sources. During drilling operations LWD tools, which have greater resolution than seismic, are deployed to aid in decision making and optimise well placement. Focusing on the data sources in isolation can lead to successful wells, but placing this data in a geological context allows for more sophisticated decision making and leads to greater reservoir understanding for improved reservoir exploitation.\u0000 Key to linking the near wellbore measurements with the geological models derived from seismic interpretation are ultra-deep electromagnetic (EM) tools. Applying geophysical inversion processes to the ultra-deep resistivity data generates models that enhance the reservoir interpretation. Formation boundary identification and definition of thin layers in the vertical plane can be achieved with 1D EM inversion. Combining these results with a Gauss-Newton-based 3D inversion provides better identification of the reservoir lateral variability. Recently the introduction of inverting the 3D EM inversion for anisotropy as well as resistivity, permits the identification of isotropic and anisotropic intervals allowing lithological and fluid identification at greater distances from the borehole. The geological models derived from the inversion data can provide a good representation of the subsurface but are more useful for decision making when correlated with other LWD data and azimuthal images, for example density and gamma ray. These tools have a much shallower range of detection but provide more detail which can be critical when placed in its geological context.\u0000 Combining all available technologies to improve reservoir understanding of different depositional environments is a more effective approach. Interpretation of the 1D, 3D and 3D anisotropy inversions both allows identification of complex oil water contacts which is vital for hydrocarbon reserves calculation and in certain environments, identification of intra-reservoir thin shale layers that can act as a baffle of fluid movement. Refining these models with the information available from density/neutron, gamma and deep EM data provides a greater level of detail which can also play an important role in the completion design process.\u0000 The improved reservoir understanding derived when combining the interpretation of these diverse methodologies can provide a better understanding of the geological scenarios and allows the identification of elements that play a role in well and field production. Identifying these trends during the drilling operations allows for both optimization of the well placement and com","PeriodicalId":178397,"journal":{"name":"Day 4 Fri, September 08, 2023","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133838558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decarbonisation on the UKCS a Comparative Study of Electrification Options West of Shetland","authors":"A. Milne, M. Dodd, A. Joyce","doi":"10.2118/215568-ms","DOIUrl":"https://doi.org/10.2118/215568-ms","url":null,"abstract":"\u0000 Meeting the Paris Agreement targets and rapidly transitioning towards renewable energy are critical. Despite significant renewable energy growth, projections indicate fossil fuels will meet almost half the UK's energy demand by 2050. The oil and gas industry is facing increasing decarbonization mandates due to environmental concerns and the need for a sustainable energy future. However, the UK is unlikely to completely achieve its Nationally Determined Contribution (NDC) target.\u0000 Offshore oil and gas industry emissions are primarily due to energy-intensive processes that could be significantly reduced by shifting towards more sustainable practices and electrifying these processes. The West of Shetland region holds strategic significance in energy security, economic contributions, and potential for further exploration.\u0000 The rapidly evolving offshore wind power sector and technological innovations in this field present a promising path towards a sustainable energy future. However, the electrification of oil and gas assets in the West of Shetland area will encounter challenges relating to grid connectivity, wind intermittency, environmental impact, and potential large-scale wind power generation elsewhere in the UK.\u0000 Three key network design options are suggested for supplying required offshore electricity: a coordinated approach, an individual approach, and a local supply approach. There are three key groupings in the West of Shetland region: the Clair grouping, Schiehallion-Lancaster-Solan, and Rosebank-Cambo. Each has potential for electrification, but also unique challenges to be addressed.\u0000 The adoption of renewable energy and energy storage technologies for oil and gas facilities in the West of Shetland area involves a variety of factors. Initial costs can be substantial, especially offshore, but these could be offset in the future due to tightening emissions regulations and carbon pricing. Older assets nearing their end of life may not be worth electrifying. Overcoming these challenges necessitates a collaborative strategy among industry players, the government, and regulators. Norway is leading in electrification, while the UK North Sea is moving much more slowly. A coherent energy policy for the West of Shetland area addressing oil and gas developments alongside renewable energy developments appears essential.","PeriodicalId":178397,"journal":{"name":"Day 4 Fri, September 08, 2023","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115656118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}