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"We are pleased to co-author a paper at the SEG Annual Meeting with a recent client that shows some very promising results in terms of producing volumes and hydraulic fracturing," says Brad Birkelo, Executive Vice President of Surface and Seismic Monitoring at Spectraseis.  "We are looking forward to building on this work through close collaboration with other operators, helping them to maximize the returns on monitoring investments as the surface microseismic market continues to recover in the coming year." In addition to showcasing its surface microseismic solutions, Spectraseis will also be demonstrating its capabilities in Interactive Seismicity Monitoring (ISM) for disposal well and hydraulic fracturing applications.  "Operators in seismically active areas are very interested in taking a proactive approach to protect their operations," says Marc Lambert, Principal Geophysicist at Spectraseis.  "Having real-time access to reliable seismic data is critical to operators who want to understand the nature of seismicity in their area."  In many cases, regional seismic networks deployed by regulatory groups may not have the resolution that operators are looking for, so deploying a local seismic array to provide a greater level of detail across their acreage is an appealing option.  "We're seeing an increasing trend in seismically active regions where neighbouring operators join forces to deploy a larger array spanning multiple properties, and the type of analysis we're able to perform on these networks is really quite exciting," says Lambert. In addition, ESG's CTO Dr. Ted Urbancic will also be a keynote speaker during a post-convention workshop focusing on advanced microseismic analysis.  "This workshop will be a great opportunity for valuable discussion surrounding the benefits of microseismic analysis beyond the typical level of interpretation that operators obtain from a microseismic program," says Urbancic.  "There's really a lot of potential value we can extract from microseismic data to help operators understand and predict production from unconventional wells, and we're looking forward to sharing our ideas with colleagues in the industry." To learn more about microseismic and seismic monitoring capabilities for oil and gas applications visit Spectraseis and ESG in Houston, Texas from September 24-27 at SEG Exhibition booth #718. Founded in 2004, Spectraseis is a leading provider of surface-based microseismic sensing technology for hydraulic fracture monitoring ("HFM"), stimulation evaluation and seismicity monitoring.  Spectraseis is a part of ESG Solutions, a leading provider of innovative microseismic solutions for the oil and gas, mining, and geotechnical industries for nearly 25 years.  ESG Solutions is headquartered in Kingston (Canada), with operations in Houston, Denver and Calgary and sales offices in Dallas, Beijing, Perth and Dubai.  For more information, visit www.esgsolutions.com. Spectris plc is a leading supplier of productivity-enhancing instrumentation and controls. Headquartered in Egham, Surrey, United Kingdom, the Company employs over 9,000 people with offices in more than 30 countries. For more information, visit www.spectris.com.


Patent
Spectraseis | Date: 2011-03-09

A method and system of processing seismic data includes acquiring three-component seismic data and combining horizontal components of the three-component seismic data to obtain a merged horizontal component. Frequency spectra are determined for the acquired three-component seismic data. A ratio of a vertical component of the seismic data to the merged horizontal component is determined. A V/H integration-measure is obtained from the integration of the area bounded by a selected minimum-amplitude value and the amplitude values greater than the selected minimum-amplitude value and the V/H integration-measure is stored in a form for display.


Patent
Spectraseis | Date: 2011-09-25

A method and system of detecting and mapping a subsurface hydrocarbon reservoir includes determining ratio data for a plurality of orthogonal spectral components of naturally occurring low frequency background seismic data. The ratio data may be compared, plotted, contoured and displayed as a subsurface hydrocarbon reservoir map or a hydrocarbon potential map. The ratio data may represent a vertical spectral component of the seismic data over a horizontal spectral component of the seismic data. The subsurface hydrocarbon reservoir map may include contouring the ratio data over a geographical area associated with the seismic data.


Patent
Spectraseis | Date: 2010-01-20

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.


Patent
Spectraseis | Date: 2011-09-26

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.


Patent
Spectraseis | Date: 2011-09-26

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.


A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to the dynamic particle parameters to obtain image values associated with subsurface energy source locations.


Patent
Spectraseis | Date: 2011-09-25

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.


Patent
Spectraseis | Date: 2011-09-25

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-ITN-2008 | Award Amount: 5.04M | Year: 2009

Storing CO2 in the subsurface to reduce global warming, finding hydrocarbon and other resources and monitoring their extraction, generating energy with Earths internal heat, and forecasting natural hazards (earthquake-induced ground motion, volcanic eruptions) requires high-resolution tomographic images of the Earths interior. The main goal of QUEST is research and training in the development of strategies for automated seismic imaging using the increasing power of 3-D simulation technology. While so far the observed information was severely reduced to determine Earths structure, the massive increase in available computational resources allows us now to make use of the complete information contained in the observations. With narrowing resources and increasing energy prizes the exploration industry is seeking highly skilled young scientists capable of driving the new computational technologies towards industrial problems. Earth Science graduating students are lacking profound theoretical and practical training in numerical methods and high-performance computing. QUEST intends to fill this gap offering the students excellent prospects in industry and academia as the combination of skills to be trained are highly in demand. We also expect substantial progress in understanding the dynamics of our planet, the quantification of natural hazards such as earthquakes, tsunamis, and volcanic eruptions. QUEST will link world-leading scientists in methodologies such as computational wave propagation, the theory of inverse problems and global tomography with two of the best industrial research laboratories in geophysics and computing world wide. QUEST will have a lasting impact on the practice of seismic tomography, leading to High-Performance-Computing solutions applicable to industrial and academic challenges, and a generation of young researchers capable of producing better Earth images that help us tackle the challenges of future energy-resource management and natural-hazard related research.

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