Improved Rxo Measurements Through Semi-Active Focusing

Eisenmann, Pierre; Gounot, M-T.; Juchereau, Bernard; Whittaker, S.J.

doi:10.2523/28437-ms

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This computation makes the traditional Kalman filter impractical for even moderate-sized reservoir problems. Eisenmann et al (1994) and Corser et al (2000) have attempted to apply the traditional Kalman filter to reservoir characterization problems, but the applications have been restricted to problems with small number of parameters and the relationships between observation and model parameters were nearly linear.…”

Section: Data Assimilationmentioning

confidence: 99%

Ensemble Kalman filter for automatic history matching of geologic facies

Liu

Oliver

2005

Journal of Petroleum Science and Engineering

155

View full text Add to dashboard Cite

Section: Data Assimilationmentioning

confidence: 99%

Ensemble Kalman filter for automatic history matching of geologic facies

Liu

Oliver

2005

Journal of Petroleum Science and Engineering

155

View full text Add to dashboard Cite

Cumulative References

2016

Resistivity Modeling

View full text Add to dashboard Cite

A Multiarray Induction Tool Optimized for Efficient Wellsite Operation

Barber

Orban

Hazen

et al. 1995

SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

This paper was setactad for presantaficm by an SPE Program Committee Iolkwing review ofinformati~cantainad in an abstraof subiniiad by the authors. Comtenta of fha paper, as presented, have not bean reviewed W tha Soaiify of Pa4rolaum Engineers and are aubjact to corracficm by the authors. The material, as preeentad, does not nacaaaariiy reflacl any pos~on of the Sooiafy of Petroleum Engineers, its offiira, or members. Papers presented at SPE maafiigs are subii to publicaticm review by Edtiorial Commiftaaa ofthe Scciify ofPafmfaum Engineers.Pen'nieeion to oopy is restricted to an abstract of not more than 300 words. Illustrations may not h cqiad. The abstract skwld ccatain conspicuous acknowfadgnmt of where and by whom the paper was presented, Write Librarian, SPE, P.O. Sox 833SS6, Ffiiardson, TX 750S3-S836, USA, fax O1-214+52-S4S5. AbstractAnew multiarray induction tool has been developed as part of the Platform Express,* a suite of tools intended to significantly improve wellsite efficiency. The tool measures formation conductivity with eight arrays ranging in length from 6 in. to 6 ft. Previously published methodsl are used to provide logs with 90% vertical resolutions of 1, 2 and 4 ft, each with depths of investigations of 10,20,30,60 and 90 in. Integral to the tool is a sensor that measures the mud resistivity to provide accurate borehole corrections for the induction logs. The total length of the instrument package is 16 ft.One problem encountered in multiarray induction tools is stick-slip motion of the tool in the borehole. To solve this problem an accelerometer included in the highefficiency toolstring is used to provide real-time depth correction for nonuniform tool motion for all the tools in the string. In addition, this-guarantees that the highresolution logs are on depth with each other.A special effort has been made to extend multiarray induction technology into more difficult logging conditions. A new algorithm that provides improved logs in very rugose boreholes and salty conductive mud has been developed and applied to the log processing of this tool. Additional features inciude correction to the resisti-vitiy logs for dip or deviation up to 60 degrees and more ac-References andfiguresareattheendof thepaper. * Throughout thispaperan* denotes a Markof Schlumberger. curate estimates of Rt in the presence of annulus. The effectiveness of these algorithms has been demonstrated in case studies with both computed and field logs..

show abstract

Improved Rxo Measurements Through Semi-Active Focusing

Cited by 5 publications

References 0 publications

Ensemble Kalman filter for automatic history matching of geologic facies

Ensemble Kalman filter for automatic history matching of geologic facies

Cumulative References

A Multiarray Induction Tool Optimized for Efficient Wellsite Operation

Contact Info

Product

Resources

About