... of the patterns that correspond with the unknown strata. Besides, signal corruption such as blur, shift, and noise also obstructs the development of the automated pattern localization method. We propose a data-driven offline reinforcement learning (RL) framework to overcome those challenges. This system can learn...

... monitored by a DAS fiber. A comparison with locations obtained from microseismic monitoring using geophones in a nearby borehole shows the robustness of RTI for microseismic event localization. upstream oil & gas localization exploration geophysicist 10 hydraulic fracturing van der baan fiber...

.... Estimating the location of the source is one of the first parameters to be determined. Most source localization methods in the field of induced seismicity combine migration-based operators with grid-search algorithms. These are computationally intensive and therefore not instantaneous. To improve the time...

... Localization of induced microseismic events is an essential element of passive seismic monitoring. We have developed a novel approach for localization of microseismic events that simultaneously employs the surface and borehole observations. In our approach, we first independently calibrate...

... significantly vary from station to station and are in average three times less than the ones assigned manually by the analyst. Finally, we demonstrate that weighing the data based on the picking uncertainties can improve the resolution of microseismic source localization. Presentation Date: Tuesday, September...

... localization is for instance important in earthquake seismology and detection of microseismic events during hydraulic fracturing treatments of hydrocarbon reservoirs or injection of carbon dioxide () in depleted reservoirs. We propose an elastic reverse time extrapolation technique for passive event...

... evolutionary algorithm reservoir characterization seg seg international exposition interferometric imaging receiver pair diffraction imaging method waveform localization perturbation receiver artificial intelligence source imaging method dcs machine learning seismic source imaging method...

... ABSTRACT In this conceptual study, we aim at improving micro-seismic localization through velocity model updates. By applying a new migration velocity analysis method, we formulate model updating as an inverse problem with the migrated gathers' flatness as an objective function. We solve...

... ABSTRACT Localization of passive seismic sources is crucial for real-time monitoring of hydraulic fracturing. Using the similarity of diffraction imaging and passive seismic imaging, we propose a method that uses path-integral formulation to apply diffraction-type migration on time-shifted...

... arrays provide a larger aperture and hence greater coverage of the focal sphere in comparison to down-hole arrays. However, surface location techniques generally require knowledge of the velocity model to be known a priori. An alternative approach is passive seismic localization which is the procedure...

... Summary In this study, a new approach to shallow seismic source localization is presented. Facing the shallow subsurface complexity combined with poor data quality and quantity, a migration based diffraction imaging methodology is presented. Utilizing common image gathers analysis...

... for detection, classification and localization of marine mammals. Critique of PAM performance in industry use has tended to focus on the hardware. The early claim by developers that PAMGuard is "as good as the array attached to it is," (Mc Hugh, 2007) does not consider several limiting factors. Deployment...

... using arrival times automatically picked from realistic synthetically gener- ated 3C records. We conclude about the better performance of VFSA compared to PSO and GS. INTRODUCTION When monitoring hydraulic fracturing processes, efficient al- gorithms for the automatic detection and localization of mi...

... a new event. fracture size joint location seismic event compute artificial intelligence origin time correlation localization relative location upstream oil & gas seg houston 2013 reservoir characterization velocity model arrival time joint distribution joint microseismic event...

... SUMMARY In many reservoirs, an increase in permeability and conductivity is achieved by hydraulic fracturing/stimulations which open cracks and fractures that then act as pathways for fluids to navigate in the subsurface. Mapping, localization, and general characterization of these fracture...

...Simultaneous microseismic event localization and source mechanism determination. O. Zhebel* (University of Hamburg), L. Eisner (Institute of Rock Structure and Mechanics ASCR, Microseismic Inc.) Summary Microseismic monitoring is an important tool for development and optimization of oil and gas...

... SUMMARY We study a problem of localization of an unknown event location relative to previously located events using a single monitoring array in a monitoring well. It has been shown that using the available information about the previously located events for locating new events is advantageous...

...Interpretation of multipath-analysis localizations of microseismic data: an Alberta Montney shale example Brad Culver and Rainer Augsten, Birchcliff Energy Ltd.; Sean Coffin, Yoomi Hur and Jonathan S. Abel, Octave Reservoir Technologies; Adam Westlake, Devon Canada Corp. SUMMARY Reprocessing...

..., which include reflections and head waves, have traditionally been viewed as a nuisance in microseismic analysis, potentially causing additional false-positive event detections and erroneous localizations into the layers which generate them. In particular, the effects and potential use of head waves...

... streamer propagation model seismic streamer algorithm positioning hydrophone seismic spread marine mammal operator subsection spectrum detection localization spectrogram mammal novel marine mammal whale call marine mammal observer signal-to-noise ratio hydrophone reservoir...