Improved Management of a Fractured Carbonate Reservoir using a Smart Fields Approach

Maskari, Mohammed; Marketz, Franz; Al-Sinani, Ibrahim Said; Carrasquel, Gabriel; Saluja, Jasmeet Singh; Darke, Michael; Moosa, Riyadh; Mueller, Klaus

doi:10.2523/12712-ms

Cited by 5 publications

(2 citation statements)

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“…Since then, more solutions both large and small have been implemented under the 'flag' of Smart Fields -retrofits in existing fields and smartness by design in new projects (ref. 1,2,3). Value is generated by closing the Value Loops, through the cycle of data acquisition, modeling, decision making and execution in the field.…”

Section: Introductionmentioning

confidence: 99%

Business Value from Intelligent Fields

et al. 2010

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The Smart Fields programme has been active in Shell over the last decade and has given large benefits. In order to understand the value and to underpin strategies for the future implementation programme, a study was carried out to quantify the benefits to date. This focused on actually achieved value, through increased production or lower costs. This provided an estimate of the total value achieved to date. Future benefits such as increased reserves or continued production gain were recorded separately.The paper describes the process followed in the benefits quantification. It identifies the key solutions and technologies and describes the mechanism used to understand the relation between solutions and value. Examples have been given of value from various assets around the world, in both existing fields and in green fields. Finally, the study provided the methodology for tracking of value. This helps Shell to estimate and track the benefits of the Smart Fields programme at company scale.

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Section: Introductionmentioning

confidence: 99%

Business Value from Intelligent Fields

et al. 2010

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“…Horne (2007) summarized many of the technical benefits of surveillance. Studies providing operational guidance from surveillance and implementation of the notion of digital oilfield are many; those of Shyeh et al (2008), Maskeri et al (2008) are worthy of note.…”

Section: Introductionmentioning

confidence: 99%

Reservoir Management with Real-Time and Periodic Surveillance Data

2010

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This paper demonstrates the value of collecting and interpreting real-time data. With an intensive data gathering strategy, starting at wells' inception to the mature production phase, we show how transient pressure and rate data can be used to manage a complex carbonate gas reservoir. In particular, reservoir connectivity is discerned with pulse testing and with the leading-edge p/q graph, and continuous updates of in-place volume are made with both static and dynamic material-balance methods and corroborating the same with rate-transient analysis.Interwell connectivity information was deduced during underbalanced drilling by way of interference test between two pairs of wells. Thereafter, transient-pressure tests on individual wells characterized the layered, dual-porosity system, with production logs corroborating the notion of layering. Production maturity over three years has paved the way for estimating connected in-place gas volume associated with each well using the transient-PI, and also with a new method introduced here. This new approach entails plotting both static and dynamic material-balance data on the same graph, yielding the same solution.Errors associated with real-time rate measurements presented interpretation challenges for rate-transient analysis; however, application of a physics-based filtering algorithm resolved this issue. Flow-after-flow tests that were embedded in monthly variable-rate production allocations, in turn, allowed us to obtain average-reservoir pressure explicitly to do the static material-balance analysis.

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A case study of improved understanding of reservoir connectivity in an evolving waterflood with surveillance data

Parekh

Kabir

2013

Journal of Petroleum Science and Engineering

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Improved Management of a Fractured Carbonate Reservoir using a Smart Fields Approach

Cited by 5 publications

References 0 publications

Business Value from Intelligent Fields

Business Value from Intelligent Fields

Reservoir Management with Real-Time and Periodic Surveillance Data

A case study of improved understanding of reservoir connectivity in an evolving waterflood with surveillance data

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