EOR Development Screening of a Heterogeneous Heavy Oil Field - Challenges and Solutions

Strauss, Jonathan B.; Alexander, D. M.; Azri, Nasser Al; Al-Habsi, Mohammed; Al-Musallami, Talal; Koning, Maartje; Eriavbe, Francis; Mukmin, Mukmin; Al-Jarwani, Riyadh; Landman, Anke Jannie

doi:10.2523/129157-ms

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“…The first step would be to screen for an applicable and effective IOR/EOR method, which, conventionally, is by reservoir simulation (Moulds et al, 2010;Strauss et al, 2010). Two targets to improve recovery in such mature assets are: (A) arresting the rapid decline and maintaining sustained production costeffectively; and (B) revitalizing the field by re-development.…”

Section: Screening and Identifying New Improved Recovery Opportunitiementioning

confidence: 99%

A Novel Method for Life-Cycle Production Performance Forecast Based on Dynamic Analogs

Lu¹,

Sun

Xu³

et al. 2011

All Days

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Conventional production performance forecast by reservoir simulation is very time-consuming. Another major drawback of such an approach is the huge uncertainties in the forecast results owing to data limitation, especially at the field appraisal and development planning stages. As an efficient alternative to reservoir simulation, a novel life-cycle performance forecast method is developed which integrates dynamic information from analog reservoirs with decline curve analysis. The output of the forecast provides essential information for field development planning. This includes water breakthrough timing, duration of typical development phases (developing, plateau, decline and mature), number of active producers, oil rate and water-cut. Other important dynamic performance indicators, such as water production rate, WOR, cumulative production, remaining reserves, recovery efficiency, URR and ultimate recovery factor, which are related to economic evaluation and facilities design, are also derivable.The prerequisite for application of this method is possession of sufficient dynamic information from a large number of mature or abandoned fields, which can be selected as the analog fields. The analog fields ought to have similar characteristics to the target forecast field in terms of trap, reservoir, fluid properties and initial in-place hydrocarbon volumes. Key parameters for selecting analog fields include sedimentary environment, sandbody type, range of reservoir permeability, oil API gravity, viscosity, possible STOIIP, and drive mechanism.The new method can be applied to: (1) fast-evaluation of new assets -the forecast result can be used as direct input for economic evaluation; (2) uncertainties estimate in decision-making process using the forecasted low-, medium-and high-case scenarios; (3) verification and uncertainty reduction for conventional reservoir simulation by comparison with the analogbased forecast results; and (4) mature asset benchmarking in order to identify new opportunities to improve recovery. Using tailor-developed software, the process of analog forecast can be completed efficiently within minutes. The forecast is based on real-world facts and has taken into consideration of key factors that influence actual field development. Therefore, the forecast by the new method is, to certain extent, more approximate to the real field production history. TX 75083-3836, U.S.A., fax +1-972-952-9435

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Section: Screening and Identifying New Improved Recovery Opportunitiementioning

confidence: 99%

A Novel Method for Life-Cycle Production Performance Forecast Based on Dynamic Analogs

Lu¹,

Sun

Xu³

et al. 2011

All Days

View full text Add to dashboard Cite

show abstract

EOR Development Screening of a Heterogeneous Heavy Oil Field - Challenges and Solutions

Cited by 1 publication

References 0 publications

A Novel Method for Life-Cycle Production Performance Forecast Based on Dynamic Analogs

A Novel Method for Life-Cycle Production Performance Forecast Based on Dynamic Analogs

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