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Collaborating Authors
Results
Influence of Strong Directional Sources in Ambient Seismic Imaging using Traffic-induced Noise
Zhang, Chengli (Guizhou University) | Pan, Jianwei (Guizhou University, Guizhou University) | Liu, Jiaxu (Guizhou University) | Zhan, Lin (Guizhou University) | Gao, Jian (Guizhou University) | Luo, Haixin (Guizhou University) | Yang, Chen (Guizhou University)
Continuously moving seismic sources, such as vehicles and train cars, play a crucial role as passive sources for non-destructive exploration in urban areas. Seismic interferometry is commonly employed in field data acquisition and processing, using linear arrays. However, the simultaneous recording of high energy noise, excited by buildings and factories, cannot be overlooked. We simulate moving-source seismic records with strong noises using orthogonal arrays. When strong noise originates from specific angles, the energy-phase velocity curves of arrays in different directions significantly diverge. We demonstrate that an L-shaped array, formed by orthogonal arrays, can effectively mitigate this effect, yielding more consistent results. Nonetheless, spatial constraints often preclude the deployment of L-shaped arrays. To mitigate this issue, we propose a new parallel observation system in this paper. Field tests conducted on a main road validate that the new array is comparable to the L-shaped array in terms of dispersion extraction. Similar to synthetic data, the phase velocity extracted from the linear array field data is found to be unreliable. Drilling data aligns well with the inversion results of the parallel observation system. Given the challenges of urban traffic-induced signal acquisition, deploying multi-azimuth arrays to minimize noise impact is essential. Considering spatial limitations, the convenient parallel observation system emerges as a good choice.
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Passive Seismic Surveying (1.00)
- Transportation > Ground (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Data Science & Engineering Analytics > Information Management and Systems (1.00)
ABSTRACT Distributed acoustic sensing technology enables high-density seismic acquisition at a fraction of the cost. When deployed on the surface, surface distributed acoustic sensing (S-DAS) acquisition provides a cost-effective solution for dense high-resolution near-surface characterization through the analysis and inversion of surface waves. This is made possible by the relatively low cost of the fiber and the dense spatial sampling of the realized seismic data. The S-DAS data were collected during the acquisition of a 3D land large-scale field test and processed with a focus on recent advancements in the use of surface wave analysis and inversion. We compare and validate the result from the S-DAS recording with colocated multicomponent (3C) geophones and a conventional high-density surface seismic nodal acquisition. The comparison to 3C geophones demonstrated that for applications such as surface-wave inversion, S-DAS can outperform conventional geophones and shows consistency between electrical resistivity tomography and surface seismic inversion from S-DAS. In addition, continuous passive recording of environmental noise also offers a convenient alternative to active shooting allowing for surface wave inversion from reconstructed virtual shots.
- North America > United States > Texas > Permian Basin > Central Basin > Parker Field > Wolfcamp Formation (0.93)
- North America > United States > Texas > Permian Basin > Central Basin > Parker Field > Pennsylvanian Formation (0.93)
- North America > United States > Texas > Permian Basin > Central Basin > Parker Field > Cisco Formation (0.93)
- North America > United States > Texas > Permian Basin > Central Basin > Parker Field > Canyon Formation (0.93)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (1.00)
ABSTRACT Energized vertical steel casings have been developed to excite and monitor changes in the electrical properties of resistivity anomalies associated with hydrocarbon production and injection, among other applications. Accordingly, the spatial distribution of the fields expected in the medium surrounding a casing source has received considerable attention. However, investigations of the in-borehole distribution of the fields, currents, and charges have been lacking. Such an analysis is the objective of this work. Inside the borehole, the electric field is dominantly vertical, owing to the azimuthal symmetry of the charge density induced at the inner and outer casing boundaries. At the inner surface, charges accumulate dominantly in the vicinity of the source. At the outer surface, charges distribute along the extent of the casing, driven by the vertical channeling and radial leakage of the current flow. Inductive effects arise as the source oscillates in time, effectively resulting in a vanishing flux of azimuthal magnetic field and switching of the sign of the charge density along the vertical extent of the pipe. The alternating charge distribution yields fields propagating inward and outward within the metallic medium, describing inhomogeneous Zenneck surface waves that can interfere as they propagate and superimpose up and down the borehole. In the surrounding medium, the azimuthal magnetic field is driven by the current flowing vertically along the borehole, whereas a dominantly radial electric field is driven by the charge distributed on the outer casing surface.
- Well Drilling > Casing and Cementing > Casing design (0.71)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (0.67)
Strain field reconstruction from helical-winding fiber distributed acoustic sensing and its application in anisotropic elastic reverse time migration
Zhang, Lele (China University of Petroleum (Beijing), China University of Petroleum (Beijing)) | Zhao, Yang (China University of Petroleum (Beijing), China University of Petroleum (Beijing)) | Liu, Lu (China University of Petroleum (Beijing)) | Niu, Fenglin (Rice University) | Wu, Wei (BGP INC.) | Wang, Chuangyang (China University of Petroleum (Beijing), China University of Petroleum (Beijing)) | Tang, Hengyu (Schlumberger) | Li, Jingming (China University of Petroleum-Beijing) | Zuo, Jiahui (China University of Petroleum (Beijing), China University of Petroleum (Beijing)) | Yao, Yi (Chinese Academy of Science) | Wang, Yixin (China University of Petroleum (Beijing))
Optical fiber-based distributed acoustic sensing (DAS) technology has been a popular seismic acquisition tool due to its easy deployment, wide bandwidth, and dense sampling. However, the sensitivity of straight optical fiber to only single-axis strain presents challenges in fully characterizing multi-components seismic wavefields, making it difficult to use these data in elastic reverse time migration (ERTM). The helical-winding fiber receives projecting signals projected onto the fiber from all seismic strain field components and has the potential to reconstruct those strain components for ERTM imaging. Here we give detailed mathematical principles of helical fiber-based DAS with crucial parameters such as pitch angle, gauge length and rotating angle. At least six points of DAS responses are required in one or several winding periods to rebuild the strain fields within the seismic wavelength. The projecting matrix of conventional regular helical-winding fiber is singular and ill-conditioned, which results in computation challenges for the inverse of the Hessian matrix for strain component reconstruction. To tackle this problem, we develop a non-regular variant-pitch angle winding configuration for helical fiber. Our winding design is validated using the rank and condition number of the projecting matrix, which is proven as an important tool in the reconstruction of the original seismic strains. The recovered strain components from the DAS response are then used to backward propagate receiver wavefields in ERTM with an efficient P/S decoupled approach. To sum up, we develop a novel winding design of helical fiber to recover the strain fields, and then propose an efficient 3D anisotropic P/S wave-mode decomposition method for generating vector P- and S-wavefields during their propagation. Both methods are applied to build an anisotropic DAS-ERTM workflow for producing PP- and PS- images. Two synthetic examples demonstrate the effectiveness of our approach.
- Asia (0.68)
- North America > United States > Texas (0.45)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring (1.00)
Abstract In this paper, we introduce a portable hand streamer seismic system. The system is appropriate for characterizing the mechanical properties of geologic and engineered materials in the upper 5 to 10 m depth and for reflection imaging from tens to hundreds of meters depth. Unlike other seismic land streamer systems that are typically pulled behind a vehicle with a long string of geophones, our recording system and electric seismic source are contained within an electric utility cart to allow ease of mobility for a single operator. Our 48-channel contact-coupled streamer is tethered to the cart to enable low-effort data collection. Similar to a ground-penetrating radar system, this approach allows rapid data collection on roads, sidewalks, undeveloped paths, and native materials. Signal processing through standard surface- and body-wave approaches follows data collection. We present three case studies where we (1) map Quaternary and older strata to identify active faulting, (2) map shallow bedrock, and (3) identify the footprint of previous subsurface engineered structures. We suggest that this low-cost tool and approach can be used for decameter-scale subsurface site characterization in two or three dimensions. Future advances involve the integration of an autonomous vehicle with a fully programmable seismic source and wholly automated signal processing to enable real-time analysis of shallow seismic data.
- Geology > Structural Geology > Fault (0.70)
- Geology > Geological Subdiscipline > Geomechanics (0.68)
- Geology > Structural Geology > Tectonics (0.46)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.95)
- Transportation > Passenger (1.00)
- Transportation > Ground > Road (1.00)
- Transportation > Electric Vehicle (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Data Science & Engineering Analytics > Information Management and Systems (1.00)
Abstract Teleseismic receiver function (RF) analysis offers a passive-source analogue to detect impedance boundaries using the converted body waves generated by earthquakes. While the technique traditionally has targeted deep earth structures such as the Moho and transition zones, there is growing interest in assessing its applicability in basin-scale seismic characterization, ultimately aimed for onshore commercial integration as a cost-effective complement to existing active-source seismic surveys. Specifically, the conventional broadband seismometers used in global observational seismic experiments are not only logistically simple in terms of data acquisition, but they also record ground motions in three mutually orthogonal time series, enabling effective detection of shear waves and directional variations of observed signals. Here, we perform teleseismic RF analysis to detect shear-wave anisotropy and related symmetry axes orientations in a basin setting, using open-source seismic data recorded at 55 closely spaced seismic stations in the LaBarge Passive Seismic Experiment deployed in Wyoming between November 2008 and June 2009. We find that the strengths and geometry of the observed anisotropy are variable along the array. Significantly, not only can anisotropy effectively delineate subsurface fault interfaces, it can also substantiate and reveal additional interpretable signals that are otherwise disregarded. The estimated fast axes orientations compare favorably with the complex fracture systems documented in the region. Finally, we show that P-to-S amplitude variations with P incidence are systematic and modelable using existing computational tools, offering an opportunity to develop an analysis technique similar to amplitude variation with offset with the products of RF analysis.
- North America > United States > New York (0.29)
- North America > United States > Wyoming (0.24)
- South America > Brazil > Maranhão > Parnaiba Basin (0.99)
- North America > United States > West Virginia > Appalachian Basin (0.99)
- North America > United States > Virginia > Appalachian Basin (0.99)
- (9 more...)
A decade of technology advancement in seismic processing: A case study from reprocessing legacy sparse OBC data in Kashagan Field
Park, Jaewoo, Hyslop, Craig, Ouzounis, Ares, Wawrzynski, Alecia, Vdovina, Tetyana, Lee, Sunwoong, Hasner, Katja, Ibanez, William D., Schreuder, Steve, Tapalov, Zharas, Gabdullin, Assembek, Yergaliyev, Nurzhan
Abstract Ceaseless advancements in seismic data processing technology and workflow enable the extraction of increasing amounts of subsurface information essential for derisking and optimizing natural resource development. The Kashagan oil field, one of the world's largest carbonate reservoirs, is faced with significant development optimization challenges due to a combination of complex geology and suboptimal seismic data coverage. The latest processing technologies were applied to the 2001–2002 vintage sparse ocean-bottom cable data and produced step-change improvements over the 2010–2011 legacy processing and imaging results. Such significant image uplift is representative of technology advancements over the span of a decade fully leveraging the newly preprocessed input data, including (1) an integrated model building workflow, (2) adaptive application of full-waveform inversion, (3) geologically constrained reflection tomography, and (4) least-squares imaging. The new seismic results improved the structural and stratigraphic imaging of multiple layers of shallow carbonates, mitigated fault shadow and other complex overburden effects, increased the resolution of subsalt carbonate reservoir features such as karst and internal fractures, improved well marker depth misfit, and ultimately influenced the placement of upcoming wells and reservoir development plans. Further improvements in seismic imaging would be feasible with a modern acquisition of more densely sampled seismic data, which would allow the full potential of the latest seismic processing technologies and workflows to be unlocked.
- North America > United States (0.94)
- Asia > Kazakhstan > Atyrau Region > Caspian Sea (0.71)
- Geology > Rock Type > Sedimentary Rock (1.00)
- Geology > Geological Subdiscipline (0.89)
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.68)
Deep learning for high-resolution multichannel seismic impedance inversion
Gao, Yang (China University of Petroleum-Beijing) | Li, Hao (University of Electronic Science and Technology of China) | Li, Guofa (China University of Petroleum-Beijing) | Wei, Pengpeng (Petrochina) | Zhang, Huiqing (Petrochina)
ABSTRACT Seismic impedance inversion can obtain subsurface physical properties and plays an important role in hydrocarbon and mineral exploration. Due to the inaccurate and insufficient seismic data, the inverse problem is ill posed as characterized by unreliability and nonuniqueness of solutions. Regularization techniques relying on certain prior information often are introduced to force the inverse problem to obtain stable results with predetermined characteristics. However, for complex geologic conditions, these methods usually have difficulty achieving satisfactory accuracy and resolution. We develop a deep-learning (DL)-based multichannel impedance inversion method that flexibly incorporates prior information by training with numerous realistic structural 2D impedance models based on the features of field data. The DL framework is supplemented by the attention mechanism and residual block to automatically learn more features and details from training data. A novel hybrid loss function, combining loss and multiscale structural similarity loss, is introduced to enhance the network’s capacity for learning structural features. Synthetic and field data examples demonstrate that our method can effectively produce inversion results with high resolution, good lateral continuity, and enhanced structural features compared with traditional methods.
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling > Seismic Inversion (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic modeling (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Neural networks (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Artificial intelligence (1.00)
Robust quantitative estimation of the seismic attenuation from shallow geotechnical borehole VSP data
Nasr, Maher (Institut National de la Recherche Scientifique) | Giroux, Bernard (Institut National de la Recherche Scientifique) | Fabien-Ouellet, Gabriel (École Polytechnique Montréal) | Vergniault, Christophe (Électricité De France) | Simon, Cyril (Électricité De France)
ABSTRACT Estimating seismic attenuation from shallow geotechnical borehole surveys can be a delicate task. Measured data are often collected within the source near-field domain and the classic inverse-distance correction of the geometric spreading (GS) is inappropriate at this scale. We develop a novel approach based on a 3D full-waveform modeling to substitute the inverse-distance correction. It consists of scaling the picked amplitudes using their counterparts obtained from an elastic simulation carried out under conditions mimicking the data acquisition. The seismic attenuation may be inferred from the corrected amplitudes using either a piecewise regression or a ray-based inversion. Numerical experiments involving P- and S-wave synthetic data indicate that our correction better compensates for the GS effect than the inverse-distance correction. For a synthetic example with 5% noise, the Q-factor values derived from amplitude corrected via the proposed approach have a relative error of approximately 10% compared with 40% for the traditional correction. We investigate the effect of the velocity and density uncertainty upon the calculated correction terms and show that our approach is unbiased and stable. Finally, the robustness of our workflow is assessed on a real case study involving a P-wave data set acquired in a geotechnical borehole.
- North America > United States (0.68)
- North America > Canada > Quebec (0.28)
- Geology > Geological Subdiscipline (0.67)
- Geology > Structural Geology > Tectonics > Plate Tectonics > Earthquake (0.47)
- Geology > Rock Type > Sedimentary Rock (0.46)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Near-well and vertical seismic profiles (1.00)
Integrating Geochemistry with Other Reservoir Diagnostic Tools – Implications for Infill Planning and Development in the Midland Basin
Famubode, Oyebode (Occidental Petroleum Corporation, Houston, USA) | Acosta, Nelson (Ecopetrol Permian LLC, Houston, USA) | Bachleda, Jana (RevoChem LLC, Houston, USA) | Silva, Cristhian (Ecopetrol Permian LLC, Houston, USA) | Gallegos, Dana (Occidental Petroleum Corporation, Houston, USA) | Gomez, Beatriz (Occidental Petroleum Corporation, Houston, USA) | Jin, Muqing (RevoChem LLC, Houston, USA) | Ge, Shuangyu (RevoChem LLC, Houston, USA) | Lv, Tao (RevoChem LLC, Houston, USA)
Abstract This study examined parent-child well interaction in three stacked producing formations in an unconventional field in the Midland Basin. By combining geochemical fingerprinting to determine which formations were being drained along with pressure interference analysis, microseismic data, petrophysical data, and production results, we identified important trends that may affect landing and spacing decisions in future infill drilling and multi-bench development plans. This paper describes a new workflow for integrating lithology, Oil-in-Place Index (OIPI), Rock Quality Index (RQI), and microseismic data to measure the influence of the parent wells on the child wells and the vertical drainage patterns of all the horizontal wells in the study area. Understanding these interactions and drainage volumes may lead to better field development planning and aid in decision making on the viability of field development projects.
- Geology > Geological Subdiscipline > Geochemistry (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock (0.48)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- North America > United States > Texas > Permian Basin > Yates Formation (0.99)
- North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
- (31 more...)
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Fluid Characterization > Geochemical characterization (1.00)
- Management > Asset and Portfolio Management > Field development optimization and planning (1.00)