2D focusing inversion of gravity data with the use of parameter variation as a stopping criterion
نویسنده
چکیده
A modified 2D focusing inversion method for gravity data is presented in this paper. This iterative inversion method minimizes the area of the causative body and yields a compact density distribution. In order to find the required number of iterations for maximum compactness of the density distribution, the parameter variation function is proposed as a stopping criterion in the inversion procedure. A MATLAB-based inversion code for the proposed method was implemented and was tested on synthetic gravity data. This study revealed that if the causative bodies are compact and have a uniform density contrast, an exact recovery of the compact density distribution can be obtained when the parameter variation reaches a minimum value. Thus, the parameter variation function determines the required number of iterations for 2D focusing inversion of the gravity data.
منابع مشابه
Automatic estimation of regularization parameter by active constraint balancing method for 3D inversion of gravity data
Gravity data inversion is one of the important steps in the interpretation of practical gravity data. The inversion result can be obtained by minimization of the Tikhonov objective function. The determination of an optimal regularization parameter is highly important in the gravity data inversion. In this work, an attempt was made to use the active constrain balancing (ACB) method to select the...
متن کاملNon-linear stochastic inversion of 2D gravity data using evolution strategy (ES)
In the current work, a 2D non-linear inverse problem of gravity data is solved using the evolution strategies (ES) to find the thickness of a sedimentary layer in a deep-water situation where a thick sedimentary layer usually exists. Such problems are widely encountered in the early stages of petroleum explorations where potential field data are used to find an initial estimate of the basin geo...
متن کامل2D inversion of gravity data in bedrock identification (case study: a part of Qotrum plain in Yazd province)
Introduction The gravity method measures the vertical component of the acceleration at the Earth’s surface. The earth’s gravity field is affected by the density of different rocks and structures. Therefore, this method can be used in mineral exploration or studying the subsurface cavities and structures such as bedrocks, channels, and dikes. Inverse modeling is useful in understanding the p...
متن کاملA method for 2-dimensional inversion of gravity data
Applying 2D algorithms for inverting the potential field data is more useful and efficient than their 3D counterparts, whenever the geologic situation permits. This is because the computation time is less and modeling the subsurface is easier. In this paper we present a 2D inversion algorithm for interpreting gravity data by employing a set of constraints including minimum distance, smoothness,...
متن کاملVelocity Inversion with an Iterative Normal Incidence Point (NIP) Wave Tomography with Model-Based Common Diffraction Surface (CDS) Stack
Normal Incidence Point (NIP) wave tomography inversion has been recently developed to generate a velocity model using Common Reflection Surface (CRS) attributes, which is called the kinematic wavefield attribute. In this paper, we propose to use the model based Common Diffraction Surface (CDS) stack method attributes instead of data driven Common Reflection Surface attributes as an input data p...
متن کامل