ISRM Suggested Methods for rock stress estimation—Part 2: overcoring methods

Sjöberg, Jonny; Christiansson, R.; Hudson, John C.

doi:10.1016/j.ijrmms.2003.07.012

Cited by 104 publications

(78 citation statements)

References 4 publications

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“…No significant stress rotation or perturbation with depth is observed in the available data Heidbach et al, 2016). The quality of the data is exceptionally good according to the WSM quality ranking Sperner et al, 2003;Zoback, 1992) with eight A-quality data records (i.e. an uncertainty of ±15 • ), six B-quality data records (±15-20 • ), and four C-quality data records (±20-25 • ).…”

Section: Geological Settingmentioning

confidence: 97%

“…Hence a leak-off occurred and this FIT is treated as a LOT and used for the model calibration. The direct estimation of the S H max magnitude would only be possible with overcoring measurements (Hast, 1969;Sjöberg et al, 2003). In addition, reasonable values for the S H max magnitude can be derived on the basis of the frictional equilibrium theory (Zoback et al, 2003) or physics-based relations for which reliability is largely dependent on the quality of the S h min magnitude estimation (Zoback, 2010;Cornet, 2015).…”

Section: Stress Magnitudesmentioning

confidence: 99%

“…The stress regime is mainly derived from focal mechanisms of seismic events and, to a small extent, from geological indicators or hydraulic fracturing experiments (Zoback, 1992;Sperner et al, 2003). In the Swiss part of the northern Alpine Molasse Basin a strike-slip (S H max > S v > S h min ) and, to a smaller extent, extensional (S v > S H max > S h min ) stress regime is mainly observed (Heidbach and Reinecker, 2013).…”

Section: Stress Regimementioning

confidence: 99%

“…Such information is most likely available in the model area but not publicly accessible. Furthermore, an array of many expensive deep overcoring measurements (several per borehole) could provide valuable information on the stress state and S H max in particular (Hast, 1969;Sjöberg et al, 2003).…”

Section: Model Independent Reliabilitymentioning

confidence: 99%

“…the maximum and minimum horizontal stress, S H max and S h min , as well as the magnitudes S v , S H max and S h min (Zoback, 2010;Schmitt et al, 2012). Thus, the orientation of this so-called reduced-stress tensor is described by the S H max orientation, which is systematically compiled by the World Stress Map (WSM) project Sperner et al, 2003;Zoback, 1992). Figure 1 shows a stress map with a typical density of S H max orientation data records with 172 reliable data records for the 82 000 km 2 large part of the Alpine Foreland Molasse Reinecker et al, 2010;Heidbach and Reinecker, 2013).…”

Section: Introductionmentioning

confidence: 99%

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A multi-stage 3-D stress field modelling approach exemplified in the Bavarian Molasse Basin

Ziegler

Heidbach

Reinecker³

et al. 2016

Solid Earth

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Abstract. The knowledge of the contemporary in situ stress state is a key issue for safe and sustainable subsurface engineering. However, information on the orientation and magnitudes of the stress state is limited and often not available for the areas of interest. Therefore 3-D geomechanicalnumerical modelling is used to estimate the in situ stress state and the distance of faults from failure for application in subsurface engineering. The main challenge in this approach is to bridge the gap in scale between the widely scattered data used for calibration of the model and the high resolution in the target area required for the application. We present a multi-stage 3-D geomechanical-numerical approach which provides a state-of-the-art model of the stress field for a reservoir-scale area from widely scattered data records. Therefore, we first use a large-scale regional model which is calibrated by available stress data and provides the full 3-D stress tensor at discrete points in the entire model volume. The modelled stress state is used subsequently for the calibration of a smaller-scale model located within the large-scale model in an area without any observed stress data records. We exemplify this approach with two-stages for the area around Munich in the German Molasse Basin. As an example of application, we estimate the scalar values for slip tendency and fracture potential from the model results as measures for the criticality of fault reactivation in the reservoir-scale model. The modelling results show that variations due to uncertainties in the input data are mainly introduced by the uncertain material properties and missing S H max magnitude estimates needed for a more reliable model calibration. This leads to the conclusion that at this stage the model's reliability depends only on the amount and quality of available stress information rather than on the modelling technique itself or on local details of the model geometry. Any improvements in modelling and increases in model reliability can only be achieved using more high-quality data for calibration.

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Section: Geological Settingmentioning

confidence: 97%