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Seg Technical Program Expanded Abstracts | 2008

NOISE SUPPRESSION FOR DETECTION AND LOCATION OF MICROSEISMIC EVENTS USING A MATCHED FILTER

Leo Eisner; David Abbott; William B. Barker; James Lakings; Michael Thornton

A method for determining presence of seismic events in seismic signals includes determining presence of at least one seismic event in seismic signals corresponding to each of a plurality of seismic sensors. A correlation window is selected for each of the plurality of seismic signals. Each correlation window has a selected time interval including an arrival time of the at least one seismic event in each seismic signal. Each window is correlated to the respective seismic signal between a first selected time and a second selected time. Presence of at least one other seismic event in the seismic signals from a result of the correlating.


Geophysics | 2002

Seismic reservoir characterization of a U.S. Midcontinent fluvial system using rock physics, poststack seismic attributes, and neural networks

Joel Walls; M. Turhan Taner; Gareth Taylor; Maggie Smith; Matthew Carr; Naum Derzhi; Jock Drummond; Donn McGuire; Stan Morris; John Bregar; James Lakings

In a U.S. Midcontinent gas field, a channel feature contained shale and reservoir sands ranging in porosity from 6% to 20%. Well logs, core data, and 3D seismic data were combined in a reservoir characterization study to map the lithology and variability of porosity within the target sand. The project was conducted in two phases—a qualitative, uncalibrated seismic attribute study and a detailed well-log-calibrated reservoir characterization.


Seg Technical Program Expanded Abstracts | 2006

Surface based microseismic monitoring of a hydraulic fracture well stimulation in the Barnett shale

James Lakings; Peter M. Duncan; Chris Neale; Todd Theiner

Summary Microseismic monitoring of well stimulation by hydraulic fracturing is now an accepted technology. Most such monitoring is achieved with a downhole array of geophones located at or near the reservoir level in a nearby observation well. The need for an available observation well and the limited view such a well provides are impediments to the potential usefulness of the technology. The ability to monitor hydraulic fracture growth from the surface allows for larger array apertures and increases subsurface coverage with while maintaining reasonable resolution and detection limits. Stacking over a large number of stations effectively cancels the surface noise and enables seismic signal detection at levels that are comparable to downhole techniques. More importantly, the surface array is able to detect these comparable signals over a larger subsurface area and shed more light on the extent of the reservoir volume being stimulated.


Seg Technical Program Expanded Abstracts | 2002

Locating the Salt Flank Using Borehole Seismic Techniques

John O'Brien; Brian Mallick; James Lakings; Celine Barberan; Jean-Luc Gomes; Andrew Kryzan

While PreStack Depth Migration is a powerful technique for imaging the Base of Salt and the underlying sedimentary formations, imaging the flanks of salt structures can still be problematic, particularly for steeply dipping salt flanks that are deeply buried. For exploration prospects drilled on the flanks of a salt structure, accurately locating the salt flank is critical for estimating the hydrocarbon potential updip of the initial exploration well and for optimizing placement of later appraisal wells drilled to evaluate this potential.


Seg Technical Program Expanded Abstracts | 2000

Seismic reservoir characterization of a mid-continent fluvial system using rock physics, poststack seismic attributes and neural networks; a case history

Joel Walls; M. Turhan Taner; Gareth Taylor; Maggie Smith; Matthew Carr; Naum Derzhi; Jock Drummond; Donn McGuire; Stan Morris; John Bregar; James Lakings

Rock Solid Images 2600 S. Gessner, Suite 650 Houston TX 77063 713.783.5593, Fax 713.783.5594 www.rocksolidimages.com Seismic reservoir characterization of a mid-continent fluvial system using rock physics, poststack seismic attributes and neural networks; a case history Joel D. Walls*, M. Turhan Taner, Gareth Taylor, Maggie Smith, Matthew Carr, Naum Derzhi Rock Solid Images, Houston, TX Jock Drummond, Donn McGuire, Stan Morris, John Bregar, James Lakings Anadarko Petroleum Corporation


Archive | 2007

Method for passive seismic emission tomography

Peter M. Duncan; James Lakings; Roderick A. Flores


Archive | 2008

Method for imaging the earth's subsurface using passive seismic sensing

Peter M. Duncan; James Lakings


Archive | 2016

Apparatus and method using measurements taken while drilling to map mechanical boundaries and mechanical rock properties along a borehole

R. Christopher Neale; James Lakings


Rocky Mountain Oil & Gas Technology Symposium | 2007

Hydraulic Fracture Diagnostics In The Williams Fork Formation, Piceance Basin, Colorado Using Surface Microseismic Monitoring Technology

David Abbott; R. Christopher Neale; James Lakings; Lynn E. Wilson; Jay Charles Close


Seg Technical Program Expanded Abstracts | 2018

Utilizing high-frequency 4-C downhole drillbit accelerometers to obtain mechanical rock properties in a series of controlled laboratory experiments

Charlie Waltman; James Lakings

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Leo Eisner

California Institute of Technology

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