Variable Rate UBD Production Data Facilitates Reservoir Characterization

Stewart, George; Lakshminarayanan, Sunil; Villatoro, Jaime J.; Boutalbi, Said

doi:10.2523/130309-ms

Cited by 1 publication

(1 citation statement)

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“…However, the variations of fluid flow behavior in the wellbore might pose difficulties in estimating the influx rates, which may lead to large uncertainties in the estimate of reservoir pore pressure [13]. Stewart et al [14] proposed an integrated transient model of the formation and the wellbore based on superposition. The method of matching the cumulative production data for estimating permeability using iterative search was also developed in their paper.…”

Section: Journal Of Applied Mathematicsmentioning

confidence: 99%

Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring

Gao

Meng

et al. 2014

Journal of Applied Mathematics

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In this work, a methodology for characterizing reservoir pore pressure and permeability during underbalanced drilling of horizontal wells was presented. The methodology utilizes a transient multiphase wellbore flow model that is extended with a transient well influx analytical model during underbalanced drilling of horizontal wells. The effects of the density behavior of drilling fluid and wellbore heat transfer are considered in our wellbore flow model. Based on Kneissl’s methodology, an improved method with a different testing procedure was used to estimate the reservoir pore pressure by introducing fluctuations in the bottom hole pressure. To acquire timely basic data for reservoir characterization, a dedicated fully automated control real-time data monitoring system was established. The methodology is applied to a realistic case, and the results indicate that the estimated reservoir pore pressure and permeability fit well to the truth values from well test after drilling. The results also show that the real-time data monitoring system is operational and can provide accurate and complete data set in real time for reservoir characterization. The methodology can handle reservoir characterization during underbalanced drilling of horizontal wells.

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Section: Journal Of Applied Mathematicsmentioning

confidence: 99%