This paper reviews different approaches to the problem of finding the shape of the basement
buried under sedimentary basins from gravity data and explores the applicability of a …

This is the first study to present simultaneously both deconvolution and inversion, two
powerful tools of data analysis. Featured within this volume are various geophysical …

Downward continuation is a very useful technique in the interpretation of potential field data.
It would enhance the short wavelength of the gravity anomalies or accentuate the details of …

An integrated geophysical strategy comprising deep electrical resistivity and gravity data
was devised to image subbasalt sedimentary basins. A 3D gravity inversion was used to …

Downward continuation can enhance small‐scale sources and improve resolution.
Nevertheless, the common methods have disadvantages in obtaining optimal results …

We have developed a deep-learning method based on the neural network of the
feedforward type to estimate the depth to the basement from potential fields. The data used …

We propose a new modified Parker's method for efficient gravitational forward modeling and
inversion using general polyhedral models. We have made several important modifications …

Downward continuation of potential field data plays an important role in interpretation of
gravity and magnetic data. For its inherent instability, many methods have been presented to …

Based on the line integral (LI) and maximum difference reduction (MDR) methods, an
automated iterative forward modelling scheme (LI‐MDR algorithm) is developed for the …

Parker–Oldenburg's method is perhaps the most commonly used technique to estimate the
depth of density interface from gravity data. To account for large density variations reported …