This study discusses the improvements of different modeling and inversion approaches to
self-potential (SP) anomaly associated with shallow and deep subsurface imaging. The …

A very fast and efficient approach to self-potential (SP) data inversion for ore exploration has
been developed. This approach is based on Tikhonov regularization and the conjugate …

The particle swarm optimization (PSO) method was applied to the inversion of single and
multiple self-potential (SP) data anomalies caused by buried bodies with simple geometry …

Three naturally inspired meta-heuristic algorithms—the genetic algorithm (GA), simulated
annealing (SA) and particle swarm optimization (PSO)—were used to invert some of the self …

The use of spontaneous potential (SP) anomalies is well known in the geophysical
literatures because of its effectiveness and significance in solving many complex problems …

Seepage of water through an underground coal-mine barrier is a common indicator of a
potential hydrogeological hazard. The Jharia coalfield has witnessed several deadly …

An efficient and reliable approach is developed for the interpretation of self‐potential
anomaly measured over idealized bodies (sphere, horizontal and vertical cylinder) using a …

A least-squares minimization approach to determine the shape of a buried polarized body
from a self-potential (SP) anomaly profile has been developed. By defining the anomaly …

Self-Potential data have been widely used in numerous applications. The interpretation of
SP data from subsurface bodies is quite challenging. The advantages of geophysical …

An inversion algorithm is developed to estimate the depth and the associated model
parameters of the anomalous body from the gravity or self-potential (SP) whole measured …