Shale reservoir stratum Young modulus and Poisson's ratio obtaining method based on conventional logging data
A conventional well logging data and shale reservoir technology, which is applied in the field of shale reservoir fracturing to provide key evaluation parameters, can solve the problems of difficult logging construction and high risk, and achieve good production and application effects
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example 1
[0050] Example 1. Well A in FL shale gas field
[0051] The logging evaluation of the 2480.0-2575.0m section of the lower part of the Longmaxi Formation in Well A of the FL shale gas field - Wufeng Formation is a shale gas layer with a thickness of 85m. The application of the present invention provides Young's modulus and Poisson's ratio parameter.
[0052] 1. Acquisition of regional experience parameters
[0053] Well JY1, the first shale gas discovery well in the FL shale gas field, was selected as a known well, and according to the Young’s modulus and Poisson’s ratio parameters of the shale reservoir section obtained after cross-dipole array acoustic logging processing of known wells, Perform linear regression analysis with conventional logging sonic time difference △T and lithological density ρb values at the same depth to obtain empirical parameters Ay=-0.0414, By=14.38 in Young's modulus area and Ap=-0.00076 in Poisson's ratio area , Bp=0.38969, Cp=-0.61858.
[0054...
example 2
[0071] Example 2. Well B in JN gas field
[0072] The logging evaluation of the 620.0-645.0m Dongyuemiao section of Well B in the JN gas field is a shale gas layer with a thickness of 25m. The results of the invention are used to provide Young's modulus and Poisson's ratio parameters for sidetracking horizontal well fracturing.
[0073] 1. Acquisition of regional experience parameters
[0074] Well J1 in the JN gas field was selected as a known well, and according to the Young’s modulus and Poisson’s ratio parameters of the shale reservoir section obtained after the cross-dipole array acoustic logging processing of the known well, they were compared with the conventional logging acoustic logging parameters at the same depth. Time difference △T and lithological density ρb values were analyzed by linear regression, and Young’s modulus area empirical parameters Ay=-0.0558, By=14.61, and Poisson’s ratio area empirical parameters Ap=0.00095, Bp=0.12490, Cp=-0.28461 were obtained....
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