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Dive into the research topics where Jan Vermilye is active.

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Featured researches published by Jan Vermilye.


Geology | 1998

Evidence for aseismic deformation in the western Transverse Ranges, southern California: Implications for seismic risk assessment

Ernest M. Duebendorfer; Jan Vermilye; Peter Geiser; Thomas L. Davis

Recent studies in southern California suggest that long-term deformation rates are far in excess of that which can be accounted for by historical seismicity, and thus, a deficit of moderate and/or large earthquakes exists in southern California. Although possible, this conclusion is not unique because aseismic deformation may have contributed to bulk regional strain. We examined Cretaceous to Pleistocene sedimentary rocks exposed in the Ventura basin along four cross-strike traverses to evaluate the possibility that aseismic deformation contributed to regional shortening. Our field and microstructural investigations suggest that aseismic deformational mechanisms, particularly pressure solution, contributed significantly to permanent shortening strain during the late Neogene and that the proposed seismic deficiency may be overestimated.


Unconventional Resources Technology Conference | 2013

Ambient Fracture Imaging: A New Passive Seismic Method

Alfred Lacazette; Jan Vermilye; Samuel Fereja; Charles Sicking

The URTeC Technical Program Committee accepted this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so at their own risk. The information herein does not necessarily reflect any position of URTeC. Any reproduction, distribution, or storage of any part of this paper without the written consent of URTeC is prohibited.


Interpretation | 2017

Forecasting reservoir performance by mapping seismic emissions

Charles Sicking; Jan Vermilye; Ashley Yaner

AbstractStreaming depth imaging (SDI) is a modified version of Kirchhoff migration that images the intensity and distribution of weak seismic waves emitted from rocks at depth. These images reveal the locations of the fractures and fracture networks in the reservoir. SDI allows for more informed forecasts for drilling, hydraulic fracturing, and reservoir management than is provided by traditional microearthquake mapping methods. Using passive data from surface and near-surface geophone grids, SDI integrates the seismic emissions over time to form the fracture activity volume. The fracture systems and the active production volume (APV) of the reservoir are calculated from this activity volume. In situ wellbore measurements indicate that the preexisting fracture systems in the reservoir rocks have substantial impact on the placement of the fluids during the hydraulic fracture treatment. They also strongly influence the locations of maximum oil and gas production and the decline rates of resource production....


Archive | 2013

Method for Assessing the Effectiveness of Modifying Transmissive Networks of Natural Reservoirs

Peter Geiser; Jan Vermilye; Charles Sicking


Seg Technical Program Expanded Abstracts | 2012

Permeability Field Imaging from Microseismic

Charles Sicking; Jan Vermilye; Peter Geiser; Alfred Lacazette; Laird Thompson


Archive | 2011

Fracture Imaging Methods Employing Skeletonization of Seismic Emission Tomography Data

Peter Geiser; Jan Vermilye


Oil & Gas Journal | 2006

Seismic used to directly map reservoir permeability fields

Peter Geiser; Jan Vermilye; Rob Scammell; Steve Roecker


Archive | 2013

Methods, systems and devices for near-well fracture monitoring using tomographic fracture imaging techniques

Jan Vermilye; Peter Geiser


Archive | 2014

Method for Subsurface Mapping Using Seismic Emissions

Jan Vermilye; Charles Sicking; Ross G. Peebles; Laird Thompson; Amanda Klaus; Peter Geiser


SPE/AAPG/SEG Unconventional Resources Technology Conference | 2016

Pre-drill Reservoir Evaluation Using Passive Seismic Imaging

Charles Sicking; Jan Vermilye; Ashley Yaner

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Peter Geiser

University of Connecticut

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