... of the potential field data. By building a large number of samples to train our network, the nonlinear mapping relationship from data space to physical model space is established. The trained network can transform the new potential field data into the expected physical property model with high precision...

... We developed a method for interpretation of potential field data through unsupervised machine learning techniques, called Unsupervised Boundary Analysis (UBA). Through the use of Self-Organizing Maps and k -means it is possible to obtain a clustering in the space domain allowing...

... Traditionally, geophysics has been playing a major and crucial role in oil and gas and mining exploration. Mainly seismic and potential fields data are contributing in a big way to the discovery of hydrocarbon fields and mining deposits. With the Energy Transition taking place we see new...

... Australian continent by linking the dominant 30 km deep features back to the surface. Typical computation time should be less than 5 minutes. artificial intelligence information potential field structural geology worm potential field data gravity interpretation reservoir characterization...

...: Poster Station 6 Presentation Type: Poster reservoir characterization minimum support constraint potential field data inversion upstream oil & gas remanent magnetization exploration geophysicist 10 magnetization gzz component structural correlation magnetization vector gramian...

... Presentation Time: 9:20 AM Location: 214D Presentation Type: Oral nw australia northern beagle sub-basin upstream oil & gas data courtesy halloran seg international exposition reservoir characterization inversion potential field data hydrocarbon exploration offshore nw australia gravity...

... behavior of humpback whales. The exploitation phase involves both encircling and spiral hunting. Spiral hunting simulates the bubble-net attacking mechanism of whales. Balance between both exploration and exploitation phases help in converging towards a better solution. The potential field data satisfies...

...-salt and complex geometry foothills environments. In exploring better definition and greater confidence for depth estimation, more attention to processing of the potential field data is required. This paper will focus on the 3D Euler technique described by Nabighian and Hansen (2001) in the context...

... ABSTRACT Discrete wavelet transform (DWT) is used frequently in denoising potential field data albeit its drawbacks of aliasing and phase distortion, those arise due to its inherent shift-variant nature. Here, we show that both these drawbacks can be adequately addressed through modified...

... structures and the stress regimes inwhich they are produced. Work on multi-scale edge detection ("worming") by Hornby et al. (1999) and Fedi and Florio (2001) has become increasingly popular as a starting point for rapid interpretation using potential field data. Both gravity and magnetic grids are used...

... Federico II Summary Several methods are used to upward continue potential field data. The leading techniques employ the Fast Fourier transform, accurate and quick for level-to-level upward continuation, and spatially varying scale filters for level-to- draped surfaces. We propose a new approach, based...

... potential field data xiangyun hu institute taylor series expansion geophysics reservoir characterization initial value continuation downward continuation anomaly horizontal plane magnetite stable downward continuation correction application fourier transform upward continuation...

... data show a good correlation with seismic and well intersections. The Energy Spectral Analysis method was applied successfully in the Rovuma Basin and the new MWT technique was found to be a valuable tool in mapping the sedimentary horizons from the potential field data. interpretation horizon...

... it provides the finest separation of edges from the largest to the shallowest of the allowed scales. structural geology tilt angle reservoir characterization information maxima potential field data magnetic data main menu structural reconstruction reconstruction geological modeling horizontal...

... Summary Geological features, such as faults, dikes and contacts, appear as lineaments in potential field data. Here we describe a new approach to automatically analyze sets of lineaments, (Total Horizontal Derivative maxima and zero contours of Tilt), derived from the same gravity data set...

... ABSTRACT everal non-iterative, imaging methods for potential field data have been proposed that provide an estimate of the 3D magnetization/density distribution within the subsurface or that produce images of quantities proportional or related to such distributions. They have been derived...

..., and also applied to a real microgravity data to figure out abandoned mineshaft spatial residual anomaly nugget effect reservoir characterization upstream oil & gas potential field data microgravity data variogram modeling gravity anomaly geological modeling polynomial fitting method...

... scale potential field data, airborne surveys were conducted on more tightly spaced survey lines and better defined this feature (Figure 2). Figure 2: Calculated Vertical Magnetic Derivative and late time VTEM data Since regional depth to basement is on the order of 900 m, and due to the high...

... 2010 reservoir characterization unconformity athabasca basin reference list astrobleme gravity potential field data uplift impact feature basement drilling pasfield lake tie line 71 metals & mining pasfield lake sk-a An assessment of EM and potential field data at Pasfield Lake...

... field data and joint inversion of gravity and magnetic data in a two-interface model. 1. Three process to potential field data (1) Reduction-to-the-pole (RTP) of Magnetic Anomalies at Low Latitude Study area locates in the low latitudes, and the magnetic anomalies observed here are more complicated than...