Development and Applications of Sustaining Integrated Asset Modeling Tool

Liao, Tony Tianlu; Lazaro, G.E.; Vergari, Alison Marie; Schmohr, D.R.; Waligura, Nicholas John; Stein, Michael H.

doi:10.2118/88748-ms

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…The program was originally developed for automatically updating well test matches with a nodal analysis program, and doing production allocation calculations. 2 The SIAM program was extended to perform erosion and corrosion calculations, based on wellbore gradient calculations.…”

Section: Integrated Sand and Erosion Alarm Methodologymentioning

confidence: 99%

Integrated Sand and Erosion Alarming on NaKika, Deepwater Gulf of Mexico

Stein¹,

Colbert²,

Asher³

et al. 2005

Proceedings of SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractA pilot test of an integrated sand and erosion alarming process has been implemented in the NaKika field, in the Gulf of Mexico. All wells have sand control completions. Except for one well with a gravel pack completion problem, all the other wells are controlled by a flux limit (SPE Paper 84495).A Microsoft Excel based program was developed to automatically receive daily morning report data, and perform nodal analysis calculations on all of the wells, in order to estimate: mechanical skin corrected for relative permeability changes, pressure drawdown, gravel pack flux, and wellhead velocities. The wellhead velocities were utilized to calculate erosion rate to estimate metal loss. Corrosion rate at the wellhead was also estimated. All calculated results are sent to OSI PI as data tags and viewable through a commercial real time trend-analysis program. The Excel program results are also automatically emailed to the engineers.The gravel pack flux limits are used to make sure we do not produce the wells at rates which increase the probability of sand control failure. Monitoring of the flux results were subsequently used to increase the gas rate of one well by 15 MMSCF/D, and an oil well by 4.8 MBOE/D. Wells were ramped up in a controlled manner via programmable logic controllers. Acoustic sand detectors showed very little sand production, primarily during ramp up. The controlled ramp up is believed to be the most important reason that we have not observed any sustained sand production. After a year of operation, we have had only one minor separator cleanup for sand, most of which has been proppant from double and triple frac packs.

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Section: Integrated Sand and Erosion Alarm Methodologymentioning

confidence: 99%

Integrated Sand and Erosion Alarming on NaKika, Deepwater Gulf of Mexico

Stein¹,

Colbert²,

Asher³

et al. 2005

Proceedings of SPE Annual Technical Conference and Exhibition

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“…Zapata et al (2001) introduced "tightly coupled reservoir-wellbore-surface network simulations." Lazaro et al (2004) worked more on the "integrated asset models." Saputelli et al (2003) defined a real-time optimization scenario for the producing field.…”

Section: History Of the Digital Oilfieldmentioning

confidence: 99%

Managing The Production Lifecycle: A Framework For Scalable Digital Oilfield Implementations

Gyara

Purwar

Bravo

et al. 2015

Day 2 Tue, September 29, 2015

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This paper describes the expanded value of the digital oilfield (DOF) that is made possible by a flexible IT architecture. The architecture is designed for smarter E&P solutions and can cater to an ever-growing appetite for quick, efficient, and proven solutions to diverse productions and operations industry challenges throughout the production lifecycle.Investments made in early DOF projects have shown an individualistic flavor with unique architecture, approach, tools, standards, and practices without due consideration for scalability and extensibility. Such customized solutions slow down the adoption of good features from one project to other. Typical examples include customized workflows, a lack of open and service-oriented architecture, and a nonstandards-based database or application interface. Partly, this could arise because of lack of experienced and skilled resources, gaps in technology, or the absence of any direct or related analogues to the specific problems of the project.The following IT architectural components are necessary to enable the flexibility that modern DOF projects need to drive returns: 1. A comprehensive production data-management layer 2. An engineering modeling suite 3. A petro-technical workflow automation engine 4. An analytics library and engine 5. An advanced visualization and collaboration environmentThe success of the flexible IT architecture hinges on proper definition, documentation, optimization, and standardization of business processes for all DOF workflows. This ensures the quality and efficiency of repeatable tasks across applications and domains. For this reason, a services-led architecture is critical. This paper presents a framework for how DOF solutions should be implemented to enable scalability and maximum impact on business profitability. The standardization proposed reduces non-value-adding time during a DOF implementation and improves the companies' long-term ability to make smarter and faster decisions.

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“…They also discussed component splitting and lumping methodologies implemented in the controller for the blending of fluid streams from the simulator into the surface network and the reconciliation of injection streams back down to each reservoir simulation model. Liao et al (2007) followed their previous work with a new IAM model wherein their model was directly tied to the SCADA system. The main purpose of the IAM model was to reconcile well test data with the SCADA system via adjustment of well productivities or skin factors to match the well performance obtained from the well tests.…”

Section: Previous Workmentioning

confidence: 99%

Integrated Asset Modeling for Reservoir Management of a Miscible WAG Development on Alaska's Western North Slope

et al. 2012

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An integrated asset modeling (IAM) approach has been implemented for the Alpine Field and eight associated satellite fields on the Western Alaskan North Slope (WNS) to maximize asset value and recovery. The IAM approach enables the investigation of reservoir and facilities management options under existing and future operating constraints. Oil, gas and water production from these fields are processed at the Alpine Central Facility (ACF). A number of local constraints exist for the asset, such as the requirement that all associated gas be used for facilities power generation, gas lift or re-injection. All produced water must be re-injected and, for pipeline integrity reasons, must be segregated from imported make-up sea water used for injection. Additionally, surface gas and water handling capacity is limited at the ACF. To further complicate matters, gas injected for EOR purposes is enriched such that it is miscible or near-miscible at reservoir conditions. These conditions create a unique and changing relationship between the oil, gas and water production, gas lift, miscible water alternating gas (MWAG) injection, lean gas injection, facilities constraints and injection availability.The IAM technology utilized for managing the WNS fields consists of full-field compositional reservoir simulation models for each reservoir integrated with a pipeline surface network model and a process facility model. Spreadsheet based allocation routines and advanced mathematical coupling algorithms complete the IAM model enabling not only the prediction of the assets' performance under the aforementioned constraints, capacities and operating conditions, but to optimize overall performance and analyze the impact of decisions. To the authors' knowledge, this is the first time integrated asset modeling has been applied to bring the entire production stream including reservoir, wellbore, surface network and process simulation together for planning and managing MWAG injection to optimize recovery from an existing development.

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Development and Applications of Sustaining Integrated Asset Modeling Tool

Cited by 8 publications

References 2 publications

Integrated Sand and Erosion Alarming on NaKika, Deepwater Gulf of Mexico

Integrated Sand and Erosion Alarming on NaKika, Deepwater Gulf of Mexico

Managing The Production Lifecycle: A Framework For Scalable Digital Oilfield Implementations

Integrated Asset Modeling for Reservoir Management of a Miscible WAG Development on Alaska's Western North Slope

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