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Computation optimization for forward and inverse NMR T2 relaxometry task problem
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 17th International Conference on Geoinformatics - Theoretical and Applied Aspects, May 2018, Volume 2018, p.1 - 5
Abstract
NMR relaxometry now is a powerful tool for detecting and distinguishing of reservoir fluids, such as free and bound water, oil. NMR data allows studying the types of fluids and their distribution in a deposit penetrated by the well. NMR can identify the intervals in which hydrocarbons are present and predict their recoverability. In this work, we aimed to optimize of calculating time for the integrals arising in the NMR forward and inversion problems. We propose Legendre polynomial expansion method for the modeling relaxation curves problem in the NMR relaxometry. This tool reduces significantly the computational complexity of the relaxation curve calculation, and hence it reduces the calculation time in comparison with numerical integration methods. Since we use an analytic expression for the integral, the calculation accuracy depends only on the integration error. The given approximation error is achieved due to the choice of the maximum degree of the polynomial at the stage of calculating the coefficients of the series of the Legendre polynomials.