Passive Seismic Methods for Unconventional Resource Development

Lacazette, Alfred; Sicking, Charles; Tibi, Rigobert; Fish‐Yaner, Ashley

doi:10.1002/9781119039228.ch10

Cited by 4 publications

(2 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The statistics can be used to calibrate DFN models and the tessellated surfaces can be used directly for DFN simulation (Lacazette et al, 2014). The surfaces are useful for interpreting microearthquake focal mechanism solutions because they can resolve the ambiguity between fault planes and auxiliary planes (Lacazette et al, 2015). Work in progress (Lacazette and Morris, 2015 URTeC, submitted) shows that the surfaces provide a new method to determine reservoir stress, because they can be inverted directly using slip-tendency analysis (Morris et al, 1996).…”

Section: Applicationsmentioning

confidence: 99%

Fracture Surface Extraction and Stress Field Estimation From Three - Dimensional Microseismic Data

Copeland¹,

Lacazette²

2015

Unconventional Resources Technology Conference

Self Cite

View full text Add to dashboard Cite

This paper demonstrates a technique for extracting complex fracture surfaces in three dimensions from microseismic data recorded during fracturing or ambient quiet times. Cumulative semblance is computed on a three-dimensional grid of the reservoir, using microseismic trace data. The semblance volume has local peaks that coincide approximately with fracture surfaces. We extract fracture surfaces from this semblance data. The natural fracture locations and orientations are independent of the grid.Our mathematical method generates surfaces without regard to the grid coordinate system. Grid independence is achieved by defining an analytic semblance function in three-dimensional space that interpolates the grid data. The fracture surfaces, in three dimensions, are ridges of the hypersurface in four dimensions (space plus semblance) defined by the analytic semblance function. Existing methods known in the literature cannot be used to compute these surfaces, because they are defined as ridges that may intersect each other. The surfaces are therefore not manifolds implicitly defined by a smooth map. We present a new method for computing surfaces, using extrema of the three-dimensional second derivatives of the analytic semblance function to locate points on the ridges. In three dimensions, we show how to robustly find second derivative extrema in the appropriate direction for defining the ridge surfaces. The resulting surfaces are grid-independent and provide useful geometric data about the fractures and the stress field.The geometry of the constructed fractures has multiple applications. Cumulative seismic activity may be used as a proxy for the slip-tendency of the fracture, so that the orientation and activity values of all the surfaces can be inverted for the orientations and relative magnitudes of the neostress (the present-day stress). The fracture surfaces are connected and can be exported and used directly in Discrete Fracture Network (DFN) fracture and reservoir simulations. Surface statistics are used for calibrating stochastic DFN fracture and reservoir simulators, interpreting focal mechanism solutions, and understanding the interaction of hydraulic fractures with pre-existing natural fracture networks (Lacazette et al., 2014). Also, the resulting surfaces can be used directly in DFN simulators. A discrete representation of the surfaces allows for visualization of the fractures, helping geologists and reservoir engineers understand and measure the extent and the effectiveness of the network.We show examples of surfaces computed with our new method, demonstrating robustness on real data.

show abstract

Section: Applicationsmentioning

confidence: 99%

Fracture Surface Extraction and Stress Field Estimation From Three - Dimensional Microseismic Data

Copeland¹,

Lacazette²

2015

Unconventional Resources Technology Conference

Self Cite

View full text Add to dashboard Cite

show abstract

“…These methods, however, do not directly provide the volume of the reservoir that is producing rather, they give the volume of the reservoir that is affected by stimulation. Consequently, a new concept known as Effective Stimulated Reservoir Volume (ESRV) has been introduced to define the reservoir's volume responsible for production (Lacazette et al 2015). Thus, the ESRV evaluation gives a clear indication of the productive volume.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model for estimating effective stimulated reservoir volume

Ibrahim

Negash

Rahman

et al. 2021

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

This study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV modeling, including geomechanical parameters and time, are considered for the model development. The model was validated for both single and multi-stage fractured reservoirs. For the single fractured reservoir, an ESRV of 3.07 × 106 ft3 was estimated against 3.99 × 106 ft3 of ESRV-FEM field data. Whereas, 7.00 × 109 ft3 ESRV was estimated from the multi-stage fractured reservoir against 7.90 × 109 ft3 of fractal-based model results. Stress dependence, time dependence, and permeability dependence of shale gas reservoirs are found to be essential parameters for the successful calculation of ESRV in reservoirs. An ESRV determined using this method can obtain the estimated ultimate recovery, propped volume, optimal fracture length, and spacing in fractured shale gas reservoirs.

show abstract

An assessment of social and environmental impacts of a new shale gas industry in the Vale of Pickering, North Yorkshire

Burbidge

Adams

2020

Local Environment

View full text Add to dashboard Cite

Passive Seismic Methods for Unconventional Resource Development

Cited by 4 publications

References 77 publications

Fracture Surface Extraction and Stress Field Estimation From Three - Dimensional Microseismic Data

Fracture Surface Extraction and Stress Field Estimation From Three - Dimensional Microseismic Data

A mathematical model for estimating effective stimulated reservoir volume

An assessment of social and environmental impacts of a new shale gas industry in the Vale of Pickering, North Yorkshire

Contact Info

Product

Resources

About