Academic literature on the topic 'Microseismic Analysis'

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Journal articles on the topic "Microseismic Analysis"

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Davydov, Vadim A. "Shallow seismic sounding based on ellipticity analysis of microtremor." Georesursy 21, no. 1 (March 30, 2019): 78–85. http://dx.doi.org/10.18599/grs.2019.1.78-85.

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A brief review is carried out of the previous study about the spectral ratios of horizontal and vertical components of microseismic oscillations displacement. The basic principles of resonant boundaries allocation and the construction of deep sections based on the H/V relations (ellipticity) are considered. A description of the equipment used, the method of recording and processing microseismic noise are presented. The main goal of the research work is to clarify the nature of the connection between the ellipticity of microseisms with geological features and the correctness of constructing deep sections based on them. The initial data are the amplitude spectra of the components of microseismic signal, obtained using the fast Fourier transformation. In the course of experimental work it was found that the spectral relations retain their characteristic features regardless of the azimuth of observations. A number of practical examples compare microseismic sections with results from other geophysical methods and drilling information. The results obtained indicate the complex nature of the ellipticity of microseismic noise under different conditions, however, they make it possible to determine the main interfaces between the upper part of the geological section. Resonant boundaries emitted by microtremor are often located near refractive seismic boundaries. This is consistent with the theory that resonance effects occur at the interface between two media with a high contrast of acoustic impedance.
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Tang, Shoufeng, Minming Tong, and Xinmin He. "The Optimum Wavelet Base of Wavelet Analysis in Coal Rock Microseismic Signals." Advances in Mechanical Engineering 6 (January 1, 2014): 537415. http://dx.doi.org/10.1155/2014/537415.

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Coal rock rupture microseismic signal is characterized by time-varying, nonstationary, unpredictability, and transient property. Wavelet transform is an important method in microseismic signals processing. However, different wavelet bases yield different results when analyzing the same signal. To study the comparability of different wavelet bases in analyzing microseismic signals, the current paper uses the microseismic signals released from coal rock bursting as the research subject. Through the analysis of the properties of commonly used wavelet basis functions and the characteristics of coal rock microseismic signals, the current study found that Coiflet and Symlet wavelets are suitable for analyzing coal rock microseismic signals. Sym 8 and Coif 2 wavelets were found to be suitable for analyzing and denoising coal rock microseismic signals. After Sym 8 wavelet denoising, signal-to-noise ratio (SNR) and the root mean square error were 30.4184 and 1.3109 E–07, respectively. After Coif 2 wavelet denoising, the SNR and the root mean square error values were 35.2176 and 1.0312 E–07, respectively. The results will aid in the analysis and extraction of coal rock microseismic signals.
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Warpinski, N. R. R., M. J. J. Mayerhofer, K. Agarwal, and J. Du. "Hydraulic-Fracture Geomechanics and Microseismic-Source Mechanisms." SPE Journal 18, no. 04 (May 6, 2013): 766–80. http://dx.doi.org/10.2118/158935-pa.

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Summary Interpretation of microseismic results and attempts to link microseismic-source mechanisms to fracture behavior require an understanding of the geomechanics of the fracturing process. Stress calculations around fractures show that the area normal to the fracture surface is stabilized by a pressurized fracture as a result of increased total stress and decreased shear stress. In this area, microseisms can occur only if leakoff pressurizes natural fractures, bedding planes, or other weakness features, and source mechanisms are thus likely to show a volumetric component that has either opening or closing movement in addition to shear slippage. Conversely, the tip tensile region is destabilized by a reduction in total stress and an increase in shear stress, with the likelihood that microseisms would be generated in this region because of these changes. Such microseisms would not yet be invaded by the fracturing fluid, and events that are mostly shear would be expected. Systems with multiple fractures, such as those that are potentially created in multiperforation-cluster stages, are much more complex, but similar elements can be outlined for those as well. Source mechanisms can help delineate these different types of microseismic behaviors, but the evaluation of such mechanisms reveals that they provide no significant information about the hydraulic fracture. Whereas it would be valuable if source mechanisms could provide information about the mechanics of the hydraulic fracture (e.g., opening, closing, and proppant), calculations show that both the energy and volume associated with microseismicity are an insignificant fraction of the total energy and volume input into the stimulation. Thus, hydraulic fractures are almost entirely aseismic. The analysis of source mechanisms should concentrate on what those data reveal about the reservoir (e.g., natural fractures and faults). Integrated diagnostic studies provide more value in understanding both the microseismicity and interpretation of the microseismic results.
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Aleksandrov, Vadim, Marsel Kadyrov, Andrey Ponomarev, Denis Drugov, and Irina Bulgakova. "Microseismic Multistage Formation Hydraulic Fracturing (MFHF) Monitoring Analysis Results." Key Engineering Materials 785 (October 2018): 107–17. http://dx.doi.org/10.4028/www.scientific.net/kem.785.107.

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Microseismic monitoring of hydrocarbon fields is one of the promising areas of modern seismology. In recent years, the methodology of microseismic monitoring for seismic emission has been actively developing in the oil and gas industry in order to study the impact of various technogenic processes on the hydrocarbon (HC) fields being developed. The technology does not require powerful sources of sounding signals, but uses constantly existing weak seismic fields of artificial or natural origin. During the development of the field, periodic monitoring of the intensity and spatial position of the zones of microseismic activity allows controling the behavior of HC deposits in order to optimize their development. Distinctive features of this technology are high mobility, fast deployment time, high resolution, and low cost of receiving, transferring and processing of microseismic data. The purpose was to analyze the results and evaluate the effectiveness of MFHF using microseismic monitoring of seismic emission processes. The results were obtained with the help of quantitative microseismic monitoring of seismic foci occurring successively near the well ports at different times during MFHF.
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Verbytskyi, Serhii, Bohdan Kuplovskyi, Vasyl Prokopyshyn, Oleksandr Stetskiv, Iryna Nishchimenko, Taras Brych, and Oleh Kruk. "GEODYNAMICS." GEODYNAMICS 1(30)2021, no. 1(30) (June 29, 2021): 58–64. http://dx.doi.org/10.23939/jgd2021.01.058.

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Objective. To refine seismic hazard parameters by registering high-frequency microseisms within the site under reconstruction in connection with the land plot enlargement of a plant intended for electronic components manufacturing. To quantify the estimated intensity of seismic shakings (in MSK-64 scale scores) accounting for the effects associated with local engineering and geological conditions at the study site. Methods. Seismic microzonation practical works at construction sites implies the application of short-period microseism registration method, which is considered to be one of the most efficient and unbiased instrumental SMZ methods when the field seismological studies are to be performed in a short period of time. The method relies on comparing parameters of soil micro-vibrations generated by natural and anthropogenic sources at the studied and the reference sites. At that, the soil is regarded as a filter capable of modifying the amplitude and phase oscillation spectra of seismic waves hitting the sedimentary cover basement. The seismic intensity gains were determined by comparing the amplitudes of soil oscillations at registration points over several sections of the site and at a reference point. Microseisms were recorded by using two identical three-channel digital seismic stations DAS-05 being the newest ones out of the model series of automatic seismic stations developed at S. I. Subbotin Institute of Geophysics of the NAS of Ukraine. VEGIK seismometers were used as seismometers. Results. Microseismic oscillation recording analysis has revealed that the main contribution to the formation of a wave field is due to the urban background disturbances falling within the frequency range of f = 8.0 - 18.0 Hz, as well as low-frequency natural oceanic effects amounting to f = 0.4 - 8.0 Hz while high-frequency vibrations are caused by anthropogenic factors amounting to f = 18.0 - 27.0 Hz (Fig. 3). Data of synchronous 24-hour microseism registering have indicated a sufficiently high stability of the amplitude level and frequency composition of microseismic oscillations, which suggests that the microseismic processes approximate stationary ones, provided that non-stationary events are removed from records. Plots of seismic intensity gain values at different frequencies caused by soil conditions at the studied site, determined according to the relation of averaged microseismic amplitude spectra both at the studied and reference site, are shown in Fig. 4. The average estimates of seismic intensity gains in the frequency range of 0.1 - 20.0 Hz for the construction site soil conditions, calculated with respect to microseismic spectral densities per all three vibration components, are presented in Table 1. The seismic intensity gain in relation to the initial (background) one for the engineering and geological conditions of the site equals to ΔIr = -0.21. Scientific novelty. Given the amplitude ratio and amplitude spectra of microseisms recorded at different sites and at the reference point, refined parameters of seismic hazards for the developable site have been obtained with consideration of the local soil conditions effects. Evaluation ratings of seismic shaking calculated intensity (in MSK-64 scale scores) based on effects associated with the local engineering and geological conditions of the study site have been provided. Practical significance. Construction site SMZ yields updated values of seismic forces relative to the general seismic zonation of the country, which allows taking into account possible gain in seismic severity at the design stage of earthquake-proof construction. Consideration of SMZ results at construction of engineering structures prevents human casualties and reduces economic losses in case of seismic manifestations.
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Zorn, Erich, Abhash Kumar, William Harbert, and Richard Hammack. "Geomechanical analysis of microseismicity in an organic shale: A West Virginia Marcellus Shale example." Interpretation 7, no. 1 (February 1, 2019): T231—T239. http://dx.doi.org/10.1190/int-2018-0072.1.

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Using an innovative workflow incorporating microseismic attributes and geomechanical well logs, we have defined major geomechanical drivers of microseismic expression to understand reservoir stimulation response in an engineering/geologic context. We sampled microseismic data from two hydraulically fractured Marcellus wells in the Appalachian Basin, West Virginia, vertically through the event cloud, crossing shale, limestone, sandstone, and chert. We focused our analysis on the Devonian organic shale and created pseudologs of moment magnitude Mw, b-value, and event count. The vertical moving-average sampling of microseismic data was completed such that the sample interval matched that of the geophysical well log. This technique creates robust, high-resolution microseismic logs that indicate subtle changes in microseismic properties and allow direct crossplotting of microseismic versus geophysical logs. We chose five geomechanical properties to form the framework against which to interrogate the microseismic data: Young’s modulus (YM), Poisson’s ratio (PR), brittleness, lambda-rho, and mu-rho. In addition, we included gamma as a useful measure of organic content. Having defined this microseismic-geomechanical crossplot space, we derived insights into the response of these units during hydraulic fracturing. Observations include (1) larger magnitude microseismicity occurs in high PR, high YM rocks; high event counts are found in low PR rocks, (2) low b-value (high in situ stress) is consistent with the occurrence of larger magnitude events and low event counts, and (3) YM and PR act as bounding conditions, creating “sweet spots” for high and low Mw, event count, and stress. In our crossplot space, there is a meaningful link between microseismicity and the elastic properties of the host rock. In light of this dependence of stimulation potential on elastic properties, the calculation of microseismic pseudologs at stimulation sites and application of our crossplot framework for microseismic-geomechanical analysis in unconventional shale will inform operators in planning and forecasting stimulation and production, respectively.
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Rafiq, Aamir, David W. Eaton, Adrienne McDougall, and Per Kent Pedersen. "Reservoir characterization using microseismic facies analysis integrated with surface seismic attributes." Interpretation 4, no. 2 (May 1, 2016): T167—T181. http://dx.doi.org/10.1190/int-2015-0109.1.

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We have developed the concept of microseismic facies analysis, a method that facilitates partitioning of an unconventional reservoir into distinct facies units on the basis of their microseismic response along with integrated interpretation of microseismic observations with 3D seismic data. It is based upon proposed links between magnitude-frequency distributions and scaling properties of reservoirs, including the effects of mechanical bed thickness and stress heterogeneity. We evaluated the method using data from hydraulic fracture monitoring of a Late Cretaceous tight sand reservoir in central Alberta, in which microseismic facies can be correlated with surface seismic attributes (primarily principal curvature, coherence, and shape index) from a coincident 3D seismic survey. Facies zones are evident on the basis of attribute crossplots, such as maximum moment release rate versus cluster azimuth. The microseismically defined facies correlate well with principal curvature anomalies from 3D seismic data. By combining microseismic facies analysis with regional trends derived from log and core data, we delineate reservoir partitions that appear to reflect structural and depositional trends.
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Dong, Linlu, Ying Yang, Bo Qian, Yaosheng Tan, Hailong Sun, and Nuwen Xu. "Deformation Analysis of Large-Scale Rock Slopes Considering the Effect of Microseismic Events." Applied Sciences 9, no. 16 (August 19, 2019): 3409. http://dx.doi.org/10.3390/app9163409.

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To research the macroscopic deformation of rock microseismic damage, a high-precision microseismic monitoring system was established on the left bank slope of the Baihetan hydropower station in Southwestern China. Based on the microseismic monitoring and field deformation data, the seismic source radius was applied to characterize the rock fracture scale. Numerical simulations introduced the rock micro-fracture information into the three-dimensional numerical model of the left bank slope and established the damage constitutive model. The unloading deformation process of the left bank abutment rock mass is described by numerical calculations. The feedback analysis method considering the effect of microseismic damage is preliminary exploratory research, which provides a new idea for the stability analysis of similar high rock slopes.
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Święch, Eryk. "Uncertainties in microseismic event location analysis." Geology, Geophysics & Environment 41, no. 1 (2015): 143. http://dx.doi.org/10.7494/geol.2015.41.1.143.

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Duan, Dong, Chun An Tang, and Xiao Jing Feng. "Microseismic Monitoring System Establishment and its Application to Xinzhangzi Coal Mine." Advanced Materials Research 396-398 (November 2011): 99–102. http://dx.doi.org/10.4028/www.scientific.net/amr.396-398.99.

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Microseismic monitoring technology is the important method for safety monitoring of coal mine. The Xinzhuangzi coal mine is high gas and outburst mine, in order to ensure safety in process of mining and tunneling, the microseismic monitoring system is built. Waveform analysis database of microseismic information and interference signal is built, the results of microseismic monitoring is preliminary analyzed. The results showed that microseismic monitoring system is stable and reliable, and the results are accurate. Microseismic monitoring technology provides a new monitoring tool and method for coal mining.
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Dissertations / Theses on the topic "Microseismic Analysis"

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Yfantis, Georgios. "Kinematics of soft soil landslides based on the analysis of microseismic monitoring data." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25953.

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Landslide failures are a worldwide problem claiming human lives and causing catastrophic damages to infrastructure, with their impact able to reach that of war conflicts. For these reasons this thesis is going to investigate on the use of microseismic monitoring to study the kinematic behaviour of landslides and help towards the design of an optimised early or real time warning system. All findings are based in field experiments, using 1D and 3D short period seismometers, designed to understand the capabilities and limitations of microseismic monitoring in order to enhance the first and minimize the last. The first goal of this thesis is to understand accuracy of microseismic monitoring in locating weak seismic events. The effect of the seismic velocity model is studied against common seismological assumptions, while different aperture sizes of microseismic arrays are put into test for achieving optimum location results. Next, in order to allow the study of the expected landslide seismicity during a future landslide failure, a novel methodology, an up-scaled shear box, is designed to induce landslide like seismic signals. The proposed methodology can recreate soil slip events allowing control over different geotechnical conditions, such as stress levels, thus reproducing different landslide failure scenarios. The up-scaled shear box methodology is then used to test a novel engineered seismic source: glass shard piles placed inside the landslide's mass, triggered from the landslide's displacements. The material characteristics of glass shards don't change in time, e.g. due to saturation, and have a stable seismic signature during displacement. For these reasons glass shard piles can act as the common seismic source, overcoming the time consuming process of identifying landslide complex failure mechanisms. Finally, failure is induced to two landslide vertical faces under controlled conditions. Both landslides have identical characteristics, e.g. size and geology, with the only difference that in one of them a glass shard pile was incorporated. Visual observations, displacement and loading observations of the landslide faces, timed with a GPS clock, allowing for their detection on the seismic recordings and the characterisation of failure events. The collected data are found to correlate well with the experiments conducted with the up-scaled shear box methodology, allowing for their validation.
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Yousef, Baban Mustafa. "Analysis of shear-wave response to fractures : a full waveform study of microseismic fracture imaging." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16132/.

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Naturally fractured reservoirs are playing an important role in exploration geophysics. As fractures can control the permeability and pore pressure of the reservoir, it is crucial to study the fracture characterisation. The thesis is mainly including the estimated seismic anisotropy from shear-wave splitting (SWS) observations and the study of the S-wave scattering characteristics of fractured media as well. A suite of synthetic fractured media with a broad range of fracture parameters is generated. The range of fracture parameters was chosen based on the numerical simulation and also where there is a lack of research in the literature. An automated approach of SWS analysis is performed which is suitable to cope with large volume of SWS measurements. The SWS analysis was automatically performed using cross-correlation and eigenvalue minimisation methods by using a cluster analysis technique. The automated quality measuring is obtained from the misfit calculation of both methods to estimate SWS measurements. This method leads to detect 7% and 4% high quality SWS of 6624 SWS measurements for the single and the double fracture sets models, respectively. This method is crucially beneficial as it reduces the number of inspection of SWS measurements. The SWS measurements are obtained from the receivers distribution at near-surface as well as four boreholes. The parametrisation study of SWS shows that the number of models with good SWS decreases with increasing fracture length size. Moreover, by increasing normal and tangential compliance by one order of magnitude while keeping compliance ratio constant leads to models with good SWS in most cases. The simulation of synthetic microseismic event provides suitable S-wave sources that result in SWS measurements to image fracture parameters (i.e., fracture density and orientation). The δVS, the difference between the fast and slow shear-waves velocities along the raypath, varied between 0% and 14% which is influenced by the fracture density. As the discrete fractures are superimposed in an isotropic medium, so the anisotropy is interpreted in terms of the fracture strike and fracture density by implementing an inversion method based on the effective medium theory (EMT). The inversion was performed for a single fracture set (i.e., HTI) and double orthogonal fracture sets (i.e., orthorhombic symmetry system). The fracture strike inversion is more constrained than the fracture density due to the limited ray coverage and inversion algorithm assumptions. In the subsequent part of the thesis, I confirm the general scale-dependence of seismic anisotropy and provide new results specific to SWS. I find that SWS develops under conditions when the ratio of wavelength to fracture size (λS /d) is greater than 3, where Rayleigh scattering from coherent fractures leads to an effective anisotropy such that effective medium model (EMM) theory is qualitatively valid. When 1 < λS /d < 3 there is a transition from Rayleigh to Mie scattering, where no effective anisotropy develops and hence the SWS measurements are unstable. When λS /d < 1 I observe geometric scattering and begin to see behaviour similar to transverse isotropy. I find that seismic anisotropy is more sensitive to fracture density than fracture compliance ratio. More importantly, I observe that the transition from scattering to an effective anisotropic regime occurs over a propagation distance between 1 to 2 wavelengths depending on the fracture density and compliance ratio. Finally, I use different methods including the RMS envelope analysis, shear-wave polarisation distortion, differential attenuation analysis and peak frequency shifting to assess the scattering behaviour of parametrised models in which the propagation direction is either normal or parallel to the fracture surfaces. The quantitative measures show strong observable deviations for fractures size on the order of or greater than the dominant seismic wavelength within the Mie and geometric scattering regime for both propagation normal and parallel to fracture strike. The results suggest that strong scattering is symptomatic of fractures having size on the same order of the probing seismic wave.
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Gilliland, Ellen. "Integrative Geophysical and Environmental Monitoring of a CO2 Sequestration and Enhanced Coalbed Methane Recovery Test in Central Appalachia." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/73552.

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A storage and enhanced coalbed methane (CO2-ECBM) test will store up to 20,000 tons of carbon dioxide in a stacked coal reservoir in southwest Virginia. The test involves two phases of CO2 injection operations. Phase I was conducted from July 2, 2015 to April 15, 2016, and injected a total of 10, 601 tons of CO2. After a reservoir soaking period of seven months, Phase II is scheduled to begin Fall 2016. The design of the monitoring program for the test considered several site-specific factors, including a unique reservoir geometry, challenging surface terrain, simultaneous CBM production activities which complicate the ability to attribute signals to sources. A multi-scale approach to the monitoring design incorporated technologies deployed over different, overlapping spatial and temporal scales selected for the monitoring program include dedicated observation wells, CO2 injection operations monitoring, reservoir pressure and temperature monitoring, gas and formation water composition from offset wells tracer studies, borehole liquid level measurement, microseismic monitoring, surface deformation measurement, and various well logs and tests. Integrated interpretations of monitoring results from Phase I of the test have characterized enhanced permeability, geomechanical variation with depth, and dynamic reservoir injectivity. Results have also led to the development of recommended injection strategy for CO2-ECBM operations. The work presented here describes the development of the monitoring program, including design considerations and rationales for selected technologies, and presents monitoring results and interpretations from Phase I of the test.
Ph. D.
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Ickrath, Michèle [Verfasser]. "Spatiotemporal variations of the local stress field and fault asperities at the North Anatolian Fault in NW Turkey analysed based on microseismic recordings / Michèle Ickrath." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1065670184/34.

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Ahmed, Ibraheem 1987. "Investigation of Created Fracture Geometry through Hydraulic Fracture Treatment Analysis." Thesis, 2012. http://hdl.handle.net/1969.1/148246.

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Successful development of shale gas reservoirs is highly dependent on hydraulic fracture treatments. Many questions remain in regards to the geometry of the created fractures. Production data analysis from some shale gas wells quantifies a much smaller stimulated pore volume than what would be expected from microseismic evidence and reports of fracturing fluids reaching distant wells. In addition, claims that hydraulic fracturing may open or reopen a network of natural fractures is of particular interest. This study examines hydraulic fracturing of shale gas formations with specific interest in fracture geometry. Several field cases are analyzed using microseismic analysis as well as net pressure analysis of the fracture treatment. Fracture half lengths implied by microseismic events for some of the stages are several thousand feet in length. The resulting dimensions from microseismic analysis are used for calibration of the treatment model. The fracture profile showing created and propped fracture geometry illustrates that it is not possible to reach the full fracture geometry implied by microseismic given the finite amount of fluid and proppant that was pumped. The model does show however that the created geometry appears to be much larger than half the well spacing. From a productivity standpoint, the fracture will not drain a volume more than that contained in half of the well spacing. This suggests that for the case of closely spaced wells, the treatment size should be reduced to a maximum of half the well spacing. This study will provide a framework for understanding hydraulic fracture treatments in shale formations. In addition, the results from this study can be used to optimize hydraulic fracture treatment design. Excessively large treatments may represent a less than optimal approach for developing these resources.
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Sehbi, Baljit Singh. "Performance Analysis & Optimization of Well Production in Unconventional Resource Plays." Thesis, 2013. http://hdl.handle.net/1969.1/149482.

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The Unconventional Resource Plays consisting of the lowest tier of resources (large volumes and most difficult to develop) have been the main focus of US domestic activity during recent times. Horizontal well drilling and hydraulic fracturing completion technology have been primarily responsible for this paradigm shift. The concept of drainage volume is being examined using pressure diffusion along streamlines. We use diffusive time of flight to optimize the number of hydraulic fracture stages in horizontal well application for Tight Gas reservoirs. Numerous field case histories are available in literature for optimizing number of hydraulic fracture stages, although the conclusions are case specific. In contrast, a general method is being presented that can be used to augment field experiments necessary to optimize the number of hydraulic fracture stages. The optimization results for the tight gas example are in line with the results from economic analysis. The fluid flow simulation for Naturally Fractured Reservoirs (NFR) is performed by Dual-Permeability or Dual-Porosity formulations. Microseismic data from Barnett Shale well is used to characterize the hydraulic fracture geometry. Sensitivity analysis, uncertainty assessment, manual & computer assisted history matching are integrated to develop a comprehensive workflow for building reliable reservoir simulation models. We demonstrate that incorporating proper physics of flow is the first step in building reliable reservoir simulation models. Lack of proper physics often leads to unreasonable reservoir parameter estimates. The workflow demonstrates reduced non-uniqueness for the inverse history matching problem. The behavior of near-critical fluids in Liquid Rich Shale plays defies the production behavior observed in conventional reservoir systems. In conventional reservoirs an increased gas-oil ratio is observed as flowing bottom-hole pressure is less than the saturation pressure. The production behavior is examined by building a compositional simulation model on an Eagle Ford well. Extremely high pressure drop along the multiple transverse hydraulic fractures and high critical gas saturation are responsible for this production behavior. Integrating pore-scale flow modeling (such as Lattice Boltzmann) to the field-scale reservoir simulation may enable quantifying the effects of high capillary pressure and phase behavior alteration due to confinement in the nano-pore system.
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Sadahiro, Makoto. "Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step." Thesis, 2014. http://hdl.handle.net/2152/25746.

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By projecting observed microseismic data backward in time to when fracturing occurred, it is possible to locate the fracture events in space, assuming a correct velocity model. In order to achieve this task in near real-time, a robust computational system to handle backward propagation, or Reverse Time Migration (RTM), is required. We can then test many different velocity models for each run of the RTM. We investigate the use of a Graphics Processing Unit (GPU) based system using Compute Unified Device Architecture for C (CUDA-C) as the programming language. Our preliminary results show a large improvement in run-time over conventional programming methods based on conventional Central Processing Unit (CPU) computing with Fortran. Considerable room for improvement still remains.
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Lee, Tzu-Chuan, and 李子川. "Analysis on Typhoon-induced Microseisms from Ocean-bottom Seismometer Array." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/86157503174601349570.

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碩士
國立中央大學
地球科學學系
101
Ocean-bottom seismometer (OBS) is usually used to record active and passive sources, such as air guns, explosives, earthquakes and other signals. In fact, the seismometer records not only the seismic waveforms but also noises generated by winds, waves, tides and other external forces. From the end of August to early September in 2011, 15 OBSs were deployed offshore northeastern Taiwan for about 20 days. At the end of August, the typhoon Nanmadol formed in the western Pacific and moved northwestward from the East Philippines and finally made landfall on the island of Taiwan. Due to storms or pressure changes caused by the typhoon, elastic waves would be directly or indirectly produced and recorded by the seismometers. In this study, by analyzing the seismic signals collected by the OBSs and the BATS stations, we investigate the influence induced by the changes of typhoon path and intensity on the submarine seismic noises. Preliminary results indicate that the seismic energy change related to the typhoon occurred mainly at 0.2-0.5 Hz, which is a relatively low frequency compared to that of earthquakes. The amplitude of this low-frequency noise increased when the distance between the typhoon and seismometer decreased. By comparing the seismic waves with the data collected from the marine weather buoy, we observed a positive correlation between the power of the low frequency microseisms and the wave height. This clearly indicates that the typhoon was the main source of microseisms during their passing. Owing to the ocean waves generated by the typhoon, the pressure changes in the water column is recorded by the seismometers before being transmitted to the seafloor. The spectrum analysis shows the presence of a high energy signals at 0.2-1 Hz with a period of about 12 hours which could be related to the tidal movements. In addition, the amplitude of the recorded microseisms is also affected by the depth of seismometers. In general, the deeper the seismometer is located, the smaller the amplitude of microseisms it recorded. All these observations show the seismic signal can respond to the wave and wind changes. However, some exceptions, probably induced by site effect, are observed. Analysis based on the data recorded by hydrophones and inland stations displays consistent results with that of geophones, showing that ocean wave heights appear to be the main origin of the low frequency microseisms signals. Therefore, we suggest that the low frequency ground motions are mostly induced by nearby water pressure fields, and transmitted through the rock to the stations.
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Books on the topic "Microseismic Analysis"

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Akram, Jubran. Understanding Downhole Microseismic Data Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9.

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Verdon, James P. Microseismic Monitoring and Geomechanical Modelling of CO2 Storage in Subsurface Reservoirs. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Costigan, James. Microseismic analysis of the golden giant mine block 4 central pillar /4cby James Costigan. Sudbury, Ont: Laurentian University, School of Engineering, 2001.

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Kneisley, R. O. Microseismic data analysis of failure occurrence in a deep, western U.S. coal mine: A case study. Pittsburgh, PA: U.S. Dept. of the Interior, Bureau of Mines, 1989.

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Kneisley, R. O. Microseismic data analysis of failure occurrence in a deep, western U.S. coal mine: A case study. Washington, DC: Dept. of the Interior, 1989.

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Chen, Shengzao. Further study on source parameters at Quirke Mine, Elliot Lake, Ontario. Ottawa: Mining Research Laboratory, 1991.

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Dudko, Yuriy V. Analysis of seismo-acoustic emission from ice fracturing events during SIMI'94. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1999.

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Dudko, Yuriy V. Analysis of seismo-acoustic emission from ice fracturing events during SIMI'94. Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1999.

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Eaton, J. P. Microearthquake seismology in USGS volcano and earthquake hazards studies, 1953-1995. Menlo Park, CA: U.S. Geological Survey, 1996.

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Riefenberg, Jennifer. Statistical evaluation and time series analysis of microseismicity, mining, and rock bursts in a hard-rock mine. Washington, DC: U.S. Dept. of the Interior, 1991.

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Book chapters on the topic "Microseismic Analysis"

1

Akram, Jubran. "Microseismic Data Processing." In Understanding Downhole Microseismic Data Analysis, 55–122. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_3.

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Akram, Jubran. "Microseismic Data Interpretation." In Understanding Downhole Microseismic Data Analysis, 153–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_5.

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Akram, Jubran. "Survey Design and Microseismic Data Acquisition." In Understanding Downhole Microseismic Data Analysis, 21–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_2.

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Akram, Jubran. "Additional Topics in Microseismic Data Processing." In Understanding Downhole Microseismic Data Analysis, 123–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_4.

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Akram, Jubran. "Introduction." In Understanding Downhole Microseismic Data Analysis, 1–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_1.

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Arosio, Diego, Laura Longoni, Monica Papini, and Luigi Zanzi. "Analysis of Microseismic Activity Within Unstable Rock Slopes." In Modern Technologies for Landslide Monitoring and Prediction, 141–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45931-7_7.

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Shou-feng, Tang, Tong Min-ming, and Pan Yu-xiang. "Wavelet Basis Function of the Microseismic Signal Analysis." In 2011 International Conference in Electrics, Communication and Automatic Control Proceedings, 1587–94. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8849-2_207.

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Young, R. P., S. Talebi, D. A. Hutchins, and T. I. Urbancic. "Analysis of Mining-Induced Microseismic Events at Strathcona Mine, Sudbury, Canada." In Seismicity in Mines, 455–74. Basel: Birkhäuser Basel, 1989. http://dx.doi.org/10.1007/978-3-0348-9270-4_11.

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Gorbatikov, A. V., A. V. Kalinina, V. A. Volkov, J. Arnoso, R. Vieira, and E. Velez. "Results of Analysis of the Data of Microseismic Survey at Lanzarote Island, Canary, Spain." In Geodetic and Geophysical Effects Associated with Seismic and Volcanic Hazards, 1561–78. Basel: Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7897-5_17.

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Moriya, Hirokazu, Katsuhisa Nakazato, Hiroaki Niitsuma, and Roy Baria. "Detailed Fracture System of the Soultz-sous-Forêts HDR Field Evaluated Using Microseismic Multiplet Analysis." In The Mechanism of Induced Seismicity, 517–41. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8179-1_22.

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Conference papers on the topic "Microseismic Analysis"

1

Nava, Michael J., James W. Rector, and Zhishuai Zhang. "Identification of Microseismic Attributes Through Spectral Analysis." In Unconventional Resources Technology Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/178636-ms.

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Nava, Michael J., James W. Rector, and Zhishuai Zhang. "Identification of Microseismic Attributes Through Spectral Analysis." In Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2015. http://dx.doi.org/10.15530/urtec-2015-2154968.

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Lois, Athanasios, Konstantinos Leontarakis, Nikolaos Martakis*, Katerina Polychronopoulou, Paraskevas Paraskevopoulos, and G.-Akis Tselentis. "An integrated processing tool for microseismic data analysis." In SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014. http://dx.doi.org/10.1190/segam2014-1230.1.

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Zinno, R. J. "Microseismic Data Analysis, Interpretation Compared with Geomechanical Modelling." In 3rd EAGE Workshop on Borehole Geophysics. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412189.

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Bosman, Katherine, Ted Urbancic, and Adam M. Baig. "Characterizing Reservoir Behaviour With Cluster-based Microseismic Analysis." In Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2017. http://dx.doi.org/10.15530/urtec-2017-2697672.

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V. Rozhkov, M., A. F. Kushnir, N. M. Rojkov, I. G. Dricker, and S. Hellman. "Statistical Analysis of Microseismic Noise during Hydraulic Fracturing." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148488.

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Lellouch, Ariel, and Moshe Reshef. "Improving microseismic localization by effective migration velocity analysis." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17404128.1.

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Kovaleva, Yulia, Mehdi Ostadhassan, and Naser Tamimi. "Optimizing microseismic design using multiple criteria decision analysis." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17659945.1.

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Rong, Jiaojun, Yanpeng Li, and Junwu Chen. "Numerical simulation and location analysis of microseismic events." In Beijing 2009 International Geophysical Conference and Exposition. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3603650.

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Turuntaev, S. B., and O. Y. Melchaeva. "Non-linear Analysis of Low-frequency Microseismic Background." In Saint Petersburg 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143625.

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Reports on the topic "Microseismic Analysis"

1

Daley, T., J. Peterson, and V. Korneev. GEO-SEQ Subtask 2.3.4: Microseismic Monitoring and Analysis. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1016704.

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