... This study presents reservoir imaging progress at the Utah FORGE site by using microseismic reflections recorded by Distributed Acoustic Sensing (DAS) during circulation tests in July 2023. The imaging technique treats microseismic events as high-frequency sources, applies prestack Kirchhoff...

... in Geothermal Energy (FORGE) project in Utah, direct location of microseismic events stimulated from fluid injection can offer vital insights about fracture propagation and reservoir connectivity for more informed production decisions. Surface and borehole seismic arrays are usually deployed for monitoring...

... Detecting microseismic events from Distributed Acoustic Sensing data presents significant challenges, particularly due to the prevalent label imbalance in seismic datasets. Noise data overwhelmingly outnumbers event labels, leading to a high false negative ratio when using conventional deep...

... operations. We used two fiber optic cables installed behind a production casing string of two wells in the field. In this pilot project, each of the two wells served dual roles as both a producer and an injector. To efficiently detect microseismic events from a large amount of the continuous DAS record, we...

... to be identified by manual inspection before, have been identified. deep learning reflection geologist artificial intelligence petroleum geology machine learning economic geology hydraulic fracturing reservoir characterization microseismic event p-and s-wave arrival amplitude microseismic...

... microseismic arrivals also in the testing data. These picks can be used for further automatic processing such as event localization and magnitude estimates. deep learning das data artificial intelligence structural geology machine learning microseismic event american association reservoir...

... fracture creation. fracture height fracture exploration geophysicist geology geological subdiscipline receiver array hydraulic fracturing microseismic data applied geoscience & energy 10 geologist reservoir characterization dataset microseismic event david rampton carnegie mellon...

... Microseismic analysis is the primary tool available for fracture characterization in unconventional reservoirs. As DAS fibers are installed in the target reservoir and are thus close to the microseismic events, they hold vast potential for their high-resolution analysis. However, accurately...

... The emerging fiber-optic DAS technology has revolutionized microseismic acquisition to a new level with unprecedentedly high spatial resolution and low deployment cost. Fiber-optic cables deployed in deviated boreholes enable observation of hydraulic-fracturing-related microseismic events...

.... We test the algorithm on a real microseismic data set in a Montney reservoir. The results show that the proposed method can automatically detect potential microseismic events with an increased precision rate and works well with noisy data. Note: This paper was accepted into the Technical Program...

... We show examples of rich microseismic events’ data acquired using fiber optic cables (DAS) during hydraulic fracturing in the Chalk Bluff Denver-Julesburg (DJ) basin in Colorado, US. DAS microseismic recordings contain signal of many different waves such as P- and S-direct waves, converted waves...

... inversion. First, we apply the inversion on synthetic amplitudes and test different input parameters to find the best inversion scheme. Then, we perform the moment-tensor inversion on over 1000 microseismic events in a Montney reservoir, northeastern British Colombia (BC). The inversion results are compared...

... of microseismic events with guided wave energy recorded by distributed acoustic sensing (DAS). Because of a limited number of field events, we use finite difference modeling to generate a larger number of synthetic events with and without guided wave energy, which are then used to train the CNN. The CNN performs...

... It is very challenging to accurately invert for moment tensors of microseismic events recorded using a single-borehole geophone array. Full-waveform moment-tensor inversion uses the phase and amplitude of microseismic waveforms to invert for the moment tensor of a microseismic event...

... with inclinations or pinch-outs. We exploit the advantages of the reversible jump Markov Chain Monte Carlo (rjMCMC) approach in generating different dimensions of velocity models and propose a transdimensional velocity optimization approach called incremental pseudo-master (IPM) method to improve microseismic event...

... stress reservoir geomechanics azimuth value microseismic event histogram fracture horizontal stress horizontal well anisotropy azimuth strike Predicting the azimuth of in-situ horizontal stress by integrating multiple discipline data Bo Zhang*, The university of Alabama; Kai Lin, Chengdu...

... of feed-forward neural networks to real datasets is in changing set or receivers where we pick time arrivals, leading to a non-regular input. We show how this problem can be overcome with a transfer learning approach and validate it by locating microseismic events that occurred during a hydraulic...

... hydraulic fracturing wavelength microseismic imaging ramya ravindranathan imaging expanded abstract exploration geophysicist 10 upstream oil & gas permian basin vladimir grechka microseismic event seg international exposition derivative grechka reservoir characterization resolution...

... Unconventional shale reservoirs can act as waveguides if their velocity is lower than their surroundings. Using DAS, we can record such guided waves as unaliased signals originating from both cross-well perforation shots and microseismic events. When S-type guided waves propagate through...

... to determine whether the data contain microseismic events or only noise. The manual nature of these inspections can take many weeks, sometimes over a month, to perform for one geophysicist. Automated approaches usually use a short-term-average long-termaverage (STA/LTA) ratio, but end up picking false...