1975
DOI: 10.2118/4532-pa
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Estimation of Formation Strength From the Mechanical-Properties Log(incudes associated paper 6400 )

Abstract: The mechanical-properties log provides a quantitative means for identifyingsands that are strong enough to produce oil and gas without any form ofsand control. The method is based on a correlation of in-situ strengthwith the dynamic elastic moduli computed from sonic and density logs. Introduction To meet current demands for more oil and gas, companies would like to increase production. However, increases in well-production rates are frequentlyaccompanied by … Show more

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Cited by 90 publications
(40 citation statements)
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“…Similar correlations were discussed by Gardner et al (1974), and Raymer et al (1980). Tixier et al (1975), derived mechanical properties logs based on a correlation of the insitu strength with the dynamic elastic constants computed from sonic and density logs. The Schlumberger Mechpro method (Anderson et al, 1986;Bruce, 1990) went a step further by trying to predict the uniaxial compressive strength from the sonic log.…”
Section: Previous Workmentioning
confidence: 99%
“…Similar correlations were discussed by Gardner et al (1974), and Raymer et al (1980). Tixier et al (1975), derived mechanical properties logs based on a correlation of the insitu strength with the dynamic elastic constants computed from sonic and density logs. The Schlumberger Mechpro method (Anderson et al, 1986;Bruce, 1990) went a step further by trying to predict the uniaxial compressive strength from the sonic log.…”
Section: Previous Workmentioning
confidence: 99%
“…For example, the static and dynamic moduli were in close agreement if the rock is at high hydrostatic confining pressures in excess of 30,000 psi (Simmons and Brace, 1965) or if a rock has very low and sparsely disseminated porosity, such as igneous rock or dense quartzite (Tixier, Loveless and Anderson, 1975).…”
Section: Physical Properties Of Rocks J43mentioning
confidence: 95%
“…[4][5][6][7][8][9][10] These range from analog studies to log based predictions to core studies to integrated core and failure simulation studies. From these studies the well designer can determine reservoir sand production potential.…”
Section: Sand Predictionmentioning
confidence: 99%