I recommend that try 3D gravity / magnetic modeling and inversion, it means: the math techniques for recovering properties such as density and magnetic susceptibility from observed geophysical data. I use the inverse modelling of physical properties based on Geosoft VOXI, you can choose the size of individual cells, e.g., magnetic data ---> 3D susceptibility model. The physical property values of many individual cells are adjusted to cancel or minimize the data misfit between the observed data and the calculated / predicted data. Also, remember the non-uniqueness in inversion, not only grav-mag, but also a 3D seismic at reservoir scale. Also remember the geological constrained (geology, structure, well-logs, seismic..) will improve your results. More detailed geological-constrained inversion and modelling, further refined models, therefore, use all available information to select the most appropiate tools and constraints. It is your work, the software is relatively simple to use and quickly in give back the model and inversion volume, I talk about VOXI. I show you a 3D volume of density at regional scale project.
Mario Emilio Sigismondi Thank you for the needful information. However, I have more to add. How can we integrate the Gravity and magnetic datasets into one database? I worked on VOXI based on separate Susceptibilities. I found it hard to represent the subsurface based on observed densities and magnetic susceptibilities. Your help will be appreciated. Thank you Regards and Wishes, Ayaz
What are the conventional methods for Crustal Modelling using Gravity and Magnetic Data?
You have gotten an excellent response from the Mario Emilio Sigismondi, try to understand its words by words,… example the response to the second remark is in:
‘Also, remember the non-uniqueness in inversion, not only grav-mag, but also a 3D seismic at reservoir scale. Also remember the geological constrained (geology, structure, well-logs, seismic..) will improve your results. More detailed geological-constrained inversion and modeling, further refined models, therefore, use all available information to select the most appropriate tools and constraints.’
You can test your modeling in the water environment where you can get direct data from the bottom of the sea.