Optimation of Least Squares Methods Smooth Constrain Using Occam’s Inversion Geoelectric Resistivity Dipole-Dipole Consfiguration for Estimation Slip Surface

The volumes of the landslide depend on the depth of the slide surface. The depth of the slide surface can be predicted by using the least squares inversion methods of data geoelectrical. Method of Least Squares Inversion of the data Geoelectrical cannot get smooth results. Based on the above, the aims was optimalitation leastsquares smooth constrain inversion methods with Occam’s inversion for geoelectrical data and to determine the depth and tilt angle of the slide surface in in Bukit Lantiak Padang . This exploratory study was use the method Geoelectrical resistivity Dipole-Dipole configuration. The depth and tilt angle of the slide surface in Bukit Lantiak Padang was interpretated by combined Occam’s inversion with least-squares smooth constrain inversion methods. The type of slip surface is translation slip with 33.45 degrees in tilt angle and 19.3 meters in depth. Research show that the result interpretation by used combined Occam inversion with least-squares smooth constrain inversion methods more sharpness than least-squares smooth constrain inversion.

Pitfalls in near-surface geophysical interpretation: Challenging paradigms and misconceptions

Too often, ideas become so well-established that they take on the roles of paradigms, and challenging those paradigms can be difficult, even if they are flawed. Similarly, misconceptions can take root and become firmly entrenched and again are difficult to dislodge. Both of these situations are fundamentally unscientific. Science makes progress when established theories are shown to be incorrect or at least incomplete. To do that, we have to let the data that we collect tell their stories. We should not impose models upon the data, but rather allow the data to yield those models that best represent those features that are absolutely necessary to fit the data, an approach often called “Occam’s inversion.” We also should not impose nonphysical and unscientific limits on our interpretation models. We evaluate several examples from our own experiences: the electrical properties of faults, nonuniqueness in potential fields, the influence of nonaqueous phase liquids and water on ground-penetrating radar and electrical resistivity, and the geophysical response of seafloor mineralization. In each case, a reviewer or another scientist questioned the conclusions using unscientific or incorrect arguments or assumptions. We must let the data speak.

OPTIMITION OF LEAST SQUARES METHODS SMOOTH CONSTRAIN USING OCCAM’S INVERSION GEOELECTRIC RESISTIVITY DIPOLE-DIPOLE CONFIGURATION FOR ESTIMATION SLIP SURFACE

The volumes of the landslide depend on the depth of the slide surface. The depth of the slide surface can bepredicted by using the least squares inversion methods of data geoelectrical. Method of Least Squares Inversionof the data Geoelectrical cannot get smooth results. Based on the above, the aims was optimalitation leastsquaressmooth constrain inversion methods with Occam’s inversion for geoelectrical data and to determine thedepth and tilt angle of the slide surface in in Bukit Lantiak Padang . This exploratory study was use the methodGeoelectrical resistivity Dipole-Dipole configuration. The depth and tilt angle of the slide surface in BukitLantiak Padang was interpretated by combined Occam’s inversion with least-squares smooth constraininversion methods. The type of slip surface is translation slip with 33.450 tilt angle and 19.3 meters in depth.Research show that the result interpretation by used combined Occam inversion with least-squares smoothconstrain inversion methods more sharpness than least-squares smooth constrain inversion.

Comparison of Detection Capability by the Controlled Source Electromagnetic Method for Hydrocarbon Exploration

Marine controlled-source electromagnetic (CSEM) is an efficient offshore hydrocarbon exploration method that has been developed during the last 18 years. Sea Bed Logging (SBL) and towed streamer electromagnetic (TSEM) are two different data acquisition systems. We compared these two methods by using 1D sensitivity modeling and 2D Occam’s inversion. Based on this research, we tested the effect of frequency, offset range, water depth, reservoir size, and reservoir depth on the detection capability of the two acquisition methods in terms of sensitivity. In order to test the methodology clearly and simply, the geological model was extremely simplified for the inversion. The effect of these parameters on resolution was checked as another purpose. To easily evaluate our inversion results, a simple quantity was employed that we called the anomaly transverse resistance ratio. In the shallow water environment, both the SBL and the TSEM systems had a good sensitivity to the high resistivity targets. However, in the deep water environment, the SBL system had a low noise floor. Then, it could provide better detectability to the deep target. The TSEM had the advantage in terms of the horizontal resolution because of the dense in-line sampling of the electric field.