Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization

Section 1 Multifrequency electromagnetic measurements and<br>interpretation models<br>1. Multifrequency electromagnetic data acquisition and interpretation in the laboratory and in the subsurface: A comprehensive review <br>Yifu Han, Siddharth Misra and Yuteng Jin<br>2. Petrophysical models for the interpretation of electromagnetic logs: A brief review<br>Pratiksha Tathed and Siddharth Misra<br>Section 2 Mechanistic models for the interpretation of multifrequency electromagnetic data<br>3. Multifrequency conductivity and permittivity of porous material containing non-conductive particles possessing surface conductance<br>Siddharth Misra and Yuteng Jin<br>4. Multi-frequency conductivity and permittivity of porous material containing conductive particles in redox inactive conditions<br>Yuteng Jin and Siddharth Misra<br>5. Effects of wettability of conductive and nonconductive particles on the multifrequency electromagnetic response of porous material<br>Siddharth Misra and Yuteng Jin<br>Section 3 Inversion-based interpretation of multifrequency electromagnetic data<br>6. Unified deterministic inversion of multifrequency electromagnetic measurements using relaxation models<br>7. Deterministic inversion of galvanic resistivity, induction resistivity, propagation resistivity, and dielectric dispersion logs<br>Yifu Han and Siddharth Misra<br>Section 4 Applications of multifrequency electromagnetic data and interpretation<br>8. Stochastic inversion based interpretation of multifrequency electromagnetic logs from a European organic-rich shale formation<br>Yifu Han and Siddharth Misra<br>9. Deterministic inversion based interpretation of multifrequency electromagnetic logs from wolfcamp and bakken shale formations<br>Pratiksha Tathed, Siddharth Misra and Yifu Han<br>Section 5 Advanced inversion-based interpretation of multifrequency electromagnetic data<br>10. Multifrequency electromagnetic data interpretation using stochastic Markov-chain Monte Carlo and simulated annealing methods<br>Yuteng Jin, Siddharth Misra and Yifu Han<br>11. Multifrequency electromagnetic data interpretation using particle swarm optimization and ant colony optimization methods<br>Siddharth Misra and Yuteng Jin<br>