Research Article  Open Access
Romina Gehrmann, Christian Müller, Peter Schikowsky, Thomas Henke, Michael Schnabel, Christian Bönnemann, "ModelBased Identification of the Base of the Gas Hydrate Stability Zone in Multichannel Reflection Seismic Data, Offshore Costa Rica", International Journal of Geophysics, vol. 2009, Article ID 812713, 12 pages, 2009. https://doi.org/10.1155/2009/812713
ModelBased Identification of the Base of the Gas Hydrate Stability Zone in Multichannel Reflection Seismic Data, Offshore Costa Rica
Abstract
Along the pacific margin offshore Costa Rica the Bottom Simulating Reflector (BSR) shows a patchy occurrence in 2D seismic reflection profiles. The reason for this can be either lack of free gas beneath parts of the gas hydrate stability zone (GHSZ) or poor seismic imaging. We compare far to near offset stacked common midpoint sections to reduce imaging ambiguity utilizing the amplitude variation with offset effect and thus successfully distinguish BSRs from regular sediment reflections. In combination with 1D modeling of the base of the GHSZ we disqualify or qualify reflections in the predicted depth range as BSR. Additionally we calculate the heat flow and compare it with an analytical solution to detect thermal anomalies, for example, at the frontal prism. The higher confidence in BSR depths based on the far offset stacks and heat flow calculations allows further analyses on gas hydrate concentration estimates and tectonic evolution of the margin.
1. Introduction
The Bottom Simulating Reflector (BSR) that has been recognized on continental margins worldwide (e.g., [1–6]) is caused by a negative impedance contrast at the base of the gas hydrate stability zone (GHSZ). Either high amounts of gas hydrate above and/or a few percent of free gas below the GHSZ produces this strong phasereversed reflection [7, 8]. On a reflection seismic profile the BSR is often a continuous reflector that mimics the seafloor and crosscuts stratigraphy at depths of a few hundred meters below seafloor (mbsf) [9]. In our work we focus on the amplitude variation with offset that is generally known as the AVO effect [10], as the magnitude of the BSR reflection amplitude increases with increasing angle of incidence if the reduction of Poisson’s ratio across the BSR is sufficient. That holds in the presence of free gas below or high amounts of gas hydrate above the BSR [11]. The AVO effect has been studied quantitatively with high effort on amplitude recovery and forward modeling of the reflection coefficient of the BSR in order to determine the physical properties of sediments containing hydrates, liquids, or free gas [12–14]. Offshore Costa Rica the amount of gas hydrate is considered to be too small to cause the AVO effect observed in common midpoint gathers. The observed AVO effect is rather reproduced assuming a small amount of free gas beneath the gas hydrate stability zone [13].
The BSR has been mapped offshore western Costa Rica on 2D reflection seismic profiles during cruise BGR99 in 1999 [13]. According to this interpretation (Figure 1), the BSR is not continuous over the entire margin. The aim of our study is to analyse the BSR by comparing near and far offsets stacks where it is rather weak at zero incident angles to constrain the depth of the base of the GHSZ. With this approach we consider the AVO behaviour of the BSR qualitatively.
In order to predict a depth range for the BSR in the far offset stacks we estimate the base of the gas hydrate stability zone. The stability of gas hydrate at continental margins is controlled by pressure and temperature conditions as well as the composition of the gas and seawater salinity [15]. The heat flow trend [16–18] is directly related to the depth of the gas hydrate stability zone which is strongly temperature dependent. Therefore also the BSR seems to follow an isotherm beneath the seafloor as long as the water depth is relatively constant [8]. The BSR has been used to calibrate the base of the gas hydrate stability zone and to estimate the heat flow at continental margins [19–21]. In this study we calibrate the base of the gas hydrate stability zone at clear BSR reflections and calculate the geothermal gradient using the gas hydrate stability curve of Tishchenko et al. [22], which, compared to others, includes a variable salinity. We interpolate the geothermal gradient across areas with no clearly visible BSR and derive potential BSR depths in order to identify weak BSR reflections that are difficult to distinguish from sediment reflections otherwise. We compare the heat flow trend to insitu drilling data and to trends predicted from thermal modeling to constrain the thermal regime of the continental slope.
The thermal regime may be influenced by fluids from the subducting plate escaping at mud mounds at the middle slope [23, 24] and by recent slumping or erosion [25]. Thus, the estimated heat flow offers an insight into the active geological development of the margin.
A notable difference between the heat flows of the area northwest of Nicoya Peninsula and the area to the southeast (towards Osa Peninsula) is related to the different origins of the subducting oceanic Cocos Plate [26, 27]. The oceanic plate subducting northwest of Nicoya Peninsula originates at the East Pacific Rise spreading centre and has a smooth surface. It is hydrothermally cooled via deep faults developed during plate convergencerelated bending at the Middle American Trench [26, 28]. The southeastern part of the subducting Cocos Plate is formed at the Cocos Nazca spreading centre, and its morphology is characterized by seamounts and the Cocos Ridge, which controls slope morphology [29], slope failure as, for example, the Nicoya Slide [30] (Figure 2), and basal erosion of the overriding continental plate [31]. The Paleo Plate Boundary between these two segments has been imaged via magnetic, bathymetric, and seismic studies [32] and trends towards the toe of Nicoya Peninsula. Across the plate boundary close to the Middle American Trench, Fisher et al. [27] detected an abrupt change in heat flow from 20–40 mW/ (East Pacific Rise) to 105–115 mW/ (Cocos Nazca spreading centre).
Our work focuses on seismic line BGR9946 that is located to the southeast of the plate boundary, northwest of the Nicoya Slide, and strikes perpendicular to the trench axis (Figure 2). This line shows all typical characteristics of the continental margin of western Costa Rica (Figure 3). This includes its nonaccretional frontal prism with mainly terrigenous sediments [33] that is influenced by compression [34], its extensional middle slope [35], the ophiolitic margin wedge with its rough surface [5], and sediment failures where no BSR is observed. The appearance of the BSR is thereby influenced by smallscale tectonics [9] and is ambiguous or even absent in some parts of the profile. In the following we show that seismic data processing with focus on comparing far to near offset CMP stacks and thus accounting for the AVO effect of the BSR qualitatively, a predictive 1D forward modeling of the base of the gas hydrate stability zone, and the heat flow calculation over the entire profile improve the identification of the BSR against sediment reflections. This method leads to a stronger constraint on the heat flow profile across the continental slope and the thermal regime in the slope sediments. The resulting thickness of the GHSZ is an important input parameter for the quantification of gas hydrate inventories using nonseismic methods [36].
2. Seismic Data and Processing
The seismic reflection data have been acquired offshore Costa Rica on cruise BGR99 in November 1999 by the Federal Institute for Geosciences and Natural Resources. The data acquisition parameters are shown in Table 1. The long sourcereceiver offset of about 6 km and a high signaltonoise ratio are appropriate preconditions to apply AVO analysis [13]. The mean slope angle on this profile lies between and (the maximum slope angle reaches ) resulting in a CMP smearing that is well within the Fresnel zone of 370 m. The smearing effect has therefore not been considered within this study. The applied seismic data processing flow is shown in Table 2.


The NMO velocity analysis can generally not resolve the gas layer beneath the BSR due to the vertical resolution limits at the depth of the BSR of around 13 m. However, the velocity increase with depth is reduced within the depth interval underneath the BSR. The typical velocity of this depth interval varies between 1750 and 1850 m/s. For comparison, a fullwaveform inversion by Pecher et al. [9] on seismic profile SO819 (Figure 1 and CMP projected on Figure 2) resulted in a Pwave velocity reduction from 2000 m/s to 1720–1760 m/s for a 6–18 m thick gas layer beneath the gas hydrate stability zone. This lowvelocity layer may create a thin bed tuning effect and artificial amplitude variations of the BSR reflection [38] but is not necessarily to be expected, as the base of the free gas layer is rather gradual [39]. We do not image the bottom of the free gas layer as a separate reflection, and our AVO response of the BSR does not show tuningrelated amplitude distortions.
The predictive deconvolution suppresses reverberations and compresses the wavelet [10]. In the case of an NMO stretch mute value of 100% the deconvolution is especially helpful to assure a clear image since the moveout correction has a similar effect to a lowpass filter by stretching the traces in a time varying manner. Frequency distortion especially increases at large offsets and shallow times [10]. Two different kinds of NMO stretch mute values are chosen for the CMP stack. For the BSR identification, signal periods with doubled length are preserved (NMO stretch mute 100%). In that way far offsets are included, thus providing a stronger image of the BSR (Figure 4). For interpretation of the seismic sections, a standard NMO mute of 30% is applied to ensure high vertical resolution. An AGC is applied before the full CMP stack in order to amplify the BSR and deeper structures in the migrated section. The section is then depthmigrated in order to obtain BSR depths from clear BSRs for calibration of the predictive model.
3. The AVO Effect at the BSR on Far Offset CMP Stacks
The BSR at the continental margin of Costa Rica is characterized by an AVO effect that is caused by the presence of a few percent of free gas beneath the gas hydrate stability zone [13]. While the presence of gas hydrate increases Pwave velocity , free gas beneath the GHSZ reduces Pwave velocity and density [11]. The shear wave velocity , however, does not change significantly if only the water within the pores is substituted by free gas. Consequently, Poisson’s ratio that is related to the ratio of to drops from about 0.42 for marine hydratesaturated sediments to nearly 0.1 for freegassaturated sediments [11]. This combination causes the BSR reflection to be phase reversed compared to the seafloor reflection and to increase in amplitude with increasing angle of incidence. The inversion of the reflection amplitude response for elastic parameters (e.g., the Poisson’s ratio) is nonunique [14], but for small incident angles a rule of thumb says that free gas induces a decrease of the reflection coefficient [40]. A few percent of free gas beneath the GHSZ causes a significant AVO effect [13], while higher concentrations of gas do not change this effect significantly [41]. CMP gather 5690 (Figure 4) shows the increase of the BSR amplitude with increasing offset while the seafloor reflection amplitude decreases towards zero while approaching the critical angle. This behaviour of increasing absolute values of reflection coefficients is also observed at gassand layering [42] and AVO analysis is thus a method commonly applied in hydrocarbon exploration [43]. For an AVO analysis it is generally necessary to restore amplitudes for source/receiver directivity, transmission, and absorption loss [13]. We applied a standard processing sequence correcting for source and receiver directivity provided by the seismic processing software. By stacking the far offsets the AVO effect of the BSR is examined here in an efficient way without applying full quantitative AVO analysis.
Figure 5 shows the magnitude of the theoretical Pwave reflection coefficient versus incident angle of the seafloor and the BSR. The absolute values of the reflection coefficients are calculated with the Aki and Richards [44] approximation of the nonlinear Zoeppritz equations for Pwaves.
Figure 6 shows a section of the timemigrated seismic profile BGR9946 (Figure 3) with an NMO mute value of 100% used for CMP stacking. Two closeups reveal the benefits of comparing far to near offset CMP stacks. The insets on the left (1a and 2a) show CMP stacks of the first 50 channels (near offset stack), 141–766 m distance from the source. This offset range is related to incident angles at the BSR depth of about 1.5°–9.7°, estimated from a twolayer earth model. They provide a sharp image of the sediment layers, but the BSR amplitude is weaker than sediment reflections. In the far offset stacks on the right (1b and 2b) (2641–3266 m offset and incident angles of about 25.9°–37.4°) the seismic image loses its high resolution caused by the NMO stretch effect, the subsequent longer signal period, and interference with side reflections. These far offset CMP stacks though provide a stronger BSR. The BSR can be more easily distinguished from horizontally layered sediments.
The far offset CMP stacks therefore enhance weak (but continuous) BSR reflections, but weaken reflectors that result from the normal velocity increase with depth related to dewatering and compaction in waterbearing sediment layers. They also yield new pieces of BSR reflections that previously could not be identified. The far offset stacks alone do not give unambiguous evidence of the base of the GHSZ. An AVO effect can also be caused by other gas or fluid accumulations within the sedimentary column. To ensure that an identified anomaly is at a depth that corresponds to the base of the GHSZ, we additionally implement a 1D forward modeling approach to estimate the depth of the base of the GHSZ from local temperature and pressure conditions.
4. D Forward Modeling of the Base of the GHSZ
The base of the GHSZ is presumed to be at BSR depth in reflection seismic profiles [6]. Gas hydrate in the sediment column of continental margins stabilizes due to high pressures and moderate temperatures. The temperatures required for gas hydrate destabilization are higher when additional components of , , and higher hydrocarbons are present in the gas phase, while a higher salinity has the opposite effect [4, 15, 21, 45]. Site 1041 from ODP Leg 170 offshore Nicoya Peninsula revealed a heterogeneous gas hydrate distribution [33]. Average concentrations of 1.64 vol.% of pore space were calculated by Hensen and Wallmann [46] from the sediment ability to produce methane from organic matter. The resultant gas hydrate is mostly composed of biogenic methane with locally varying portions of thermogenic gases (e.g., at mud mounds). In this work the gas hydrate stability curve of Tishchenko et al. [22] is used, which is based on an empirical algorithm for the stability of methane hydrate in seawater with a variable salinity. It deviates only slightly from approaches by Miles [47] or Brown et al. [4]. For Pacific bottom waters offshore Costa Rica a salinity of 3.46% is chosen [48]. The gas hydrate stability curve of Tishchenko et al. [22] agrees well with the laboratory data of Dickens and QuinbyHunt [45] and with ODP drilling samples analysed by Grevemeyer and Villinger [20] as shown in Figure 7. The transformation of pressure to depth is done assuming hydrostatic conditions [47].
Our workflow is as follows: BSR depths at clear BSRs are taken from the depthmigrated section that are shown by dark blue lines in Figure 8(a). A geothermal gradient for the upper sediment layers is calculated from the ratio of the temperature difference between the seafloor temperature, and the BSR temperature to the thickness of the upper sediment layers between the seafloor and the BSR.
(a)
(b)
The temperature at the seafloor is taken from a water temperature curve that is fitted to seafloor temperatures at ODP Leg 170 drill sites [33] and to CTD measurements from cruise SO144 [49]. The temperature at the BSR is taken from the stability curve at the hydrostatic pressure that equates to the BSR depth.
The geothermal gradient is then linearly interpolated along the seismic profile into areas of ambiguous or absent BSRs. Now potential BSR depths are calculated using the interpolated geothermal gradients, seafloor temperature, and the gas hydrate stability curve. They are marked red in Figure 8(a). The observed and the modeled BSR depths are then plotted into the depthmigrated seismic profile as blue and red lines, respectively (Figure 9).
(a)
(b)
The heat flow is derived from the smoothed geothermal gradient and an extrapolated thermal conductivity of 1 W/mK [33] and is shown in Figure 8(b).
Its trend is similar to heat flow data south of the Paleo Plate Boundary (Figure 3), whereas the values cannot be directly compared as the heat flow at the plate boundary is slightly disturbed [16]. Fekete [50] has mapped an abrupt change in BSR depth on a crossline that results in a heat flow change from 40 mW/ to 75 mW/ 16 km landward from the trench axis. It is also compared to an analytical curve from Molnar and England [51] with a heat flow of 110 mW/ for the subducting oceanic plate as measured by Fisher et al. [27] and calculated for a 22.7 Ma old plate by Stein and Stein [52]. The model has previously been applied by Grevemeyer et al. [53] to approximate shear stress and the seismogenic zone at the Nazca plate subduction zone. The discrepancy of the heat flow at distances of more than 30 km from the trench is explained by the increase of the subduction angle from to [54], which is not considered in the analytical model but would cause a reduction of the calculated heat flow.
The 1D modeling of the BSR results in a BSR depth distribution, its related geothermal gradient, and the heat flow trend for the entire seismic profile. The calculated BSR depth and its upper and lower boundaries offer the opportunity to fill BSR gaps by identifying pieces of high reflectivity in the far offset CMP stacks and confirming ambiguous reflections as BSR. Furthermore, BSRlike reflections may be reconsidered by comparing their associated heat flow to the calculated trend. In any case, the modeling predicts the base of the gas hydrate stability zone and may then, for example, be used for gas hydrate quantification using nonseismic methods that require the base of the GHSZ as input parameter. The derived heat flow trend can be further compared to analytical and numerical models for understanding the temperature field of the subducting slab by implying parameters like the shear stress [51, 53] and by discussing thermal anomalies that indicate fluid migration pathways [24].
5. Interpretation of Line BGR9946
The tectonic situation offshore Costa Rica influences the BSR distribution in a couple of ways. Profile BGR9946 is a representative example for the diverse BSR occurrence as shown in Figure 6 at the slope basin between CMP 5300 and CMP 9100.
Between the anticline and the basin (CMP 5800–7000) the BSR is interrupted. Basal erosion triggered by a subducting seamount may have caused the basin to subside and the GHSZ to deepen. If the subsidence happened recently so that the pore water is still unsaturated or the TOC value is too low to produce enough methane, a strong BSR may not be present. A phasereversed reflector (marked with a turquoise line on the left of Figure 9 bottom) can be disqualified as a BSR as it does not follow the calculated heat flow trend and even exceeds the upper limit of the uncertainties.
Beneath an eroded seafloor the BSR is ambiguous as there are two parallel reflections (Figure 6, 2a and 2b). They are more distinct in the far offset stack, but the true BSR cannot be determined without looking at the model that agrees in depth with the deeper reflector (Figure 9). The upper reflector may be a paleoBSR that is preserved because the erosion has taken place recently and there is still free gas present. It takes a few ten thousands of years to reach new temperature equilibrium down to BSR depth as calculated by finite differences [55] or by the characteristic thermal diffusion distance [56] for 50 m of seafloor erosion. Foucher et al. [57] discuss an upward shift of the base of the gas hydrate stability zone due to seafloor warming or tectonic uplift and a leftover BSR that may keep its reflectivity up to years due to free gas that slowly diffuses upwards. Considering a downward shift, we favour the interpretation that the former base of the gas hydrate has altered the sediments diagenetically and kept an impedance contrast and thus this reflection [3].
Further landward along the slope, the BSR is interrupted again within a slide mass (Figure 6: CMP 8500). A deep seated continuous reflector with a positive AVO effect can be identified as a discontinuity, marked as a turquoise line on the right in Figure 9, rather than as a BSR because the modeled BSR is 150 m above that reflection. On the far offset stacks the reflector continuation underneath the slope basin can be observed which also contradicts a possible BSR.
With respect to the heat flow, some other results are obtained (Figure 8). The BSRderived heat flow at the frontal prism is higher than the assumed heat flow of 110 mW/. It may indicate a heated prism, for example, by warm fluids that migrate upwards from greater depths or may be explained by the heat flow uncertainties. Other studies that support the primary assumption are summarized in the following. The frontal prism of the continental margin is nonaccretionary as concluded by Kimura et al. [33]. A great amount of fluids is subducted. Resulting overpressure triggers a fracturing of the upper crust that provides fluid pathways and induces basal erosion [58]. Silver et al. [28] have analysed fluid seeps at the frontal prism and propose their origin in 10–15 km depth. Furthermore, Silver et al. [59] explain elevated heat flow at the frontal prism by diffuse fluid flow through at least the outer 3 km of the prism.
The horizontally stressed frontal prism [34] forms an anticline (around CMP 5780) which is followed landward by the extensional slope basin. A mud mound (CMP 5420) that may provide active fluid seeps from the subducting slab [60] seems not to be active anymore, or upwelling fluids are of the same temperature as the surrounding sediments. The BSR and its affiliated heat flow are undisturbed.
Within the huge slide mass (Figure 3: CMP 8600–10800 and Figure 8: km 30–45) the absence of a clear BSR can be explained by the disruption of the sediments with gas exposal and gas migration towards the upper slope. A significant part of the seismic energy is diffracted. Several BSRlike reflectors in this area belong to the base of slide masses where fluids accumulated. Anyway, there can be small amounts of gas hydrate present as the sediments are similar to those 6 km further upslope where a clear BSR indicates the existence of gas hydrate.
The outcrop of the BSR (Figure 3) in 600 m water depth is characterized by a slump. Müller et al. [13] also detected slumps resulting from the outcrop of the BSR at the seafloor, probably connected with gas hydrate destabilisation and free gas depletion.
6. Discussion of the 1D Modeling and the Heat Flow Calculation
A BSR depth uncertainty in the forward modeling of 35 m (12%) is retrieved from the geothermal gradient’s undulation that is calculated from mapped BSR depths with the gas hydrate stability curve from Tishchenko et al. [22]. This uncertainty is introduced by the model’s seafloor dependency. It follows all smallscale undulations whereas the temperature field in greater depth and the subsequent BSR are considerably smoother. The uncertainty calculation does not take into account the error of the mapped BSR depth as it is the uncertainty of the BSR depth that is calculated from interpolated geothermal gradients and calibrated on mapped BSR depths. It is therefore the uncertainty that constrains the depth range in which we look for the BSR in the far offset stacks.
The model assumes a conductive vertical heat transport. It does not include a horizontal component. This becomes relevant at steeper seafloor morphology and decreases the accuracy of the predicted BSR depth. An example is the modeled BSR in Figure 9(a) between CMP 6500 and 7000 where the uncertainty to the BSR retrieved from far offset CMP stacks (turquoise line) reaches 50 m.
Between km 30 to 45 in Figure 8 the model is neither calibrated by any clear BSR nor proved by patchy reflections in the far offset CMP stacks and probably exceeds an uncertainty of 50 m.
The model is based on 1D heat conduction in a 3D environment and a linear interpolation of the geothermal gradient. To interpolate the gradient linearly is a good approximation over short distances because the heat flow curve changes smoothly. It is however not appropriate in cases of thermal anomalies and greater distances. A regular distribution of clear BSRs along the profile or heat flow measurements for model calibration would keep the uncertainty small.
The error for the calculated heat flow is estimated by the Gaussian error propagation for a water depth of 2200 m and becomes 22 mW/ (44%). This estimation accounts for the following
(i)the errors of the pressuredepth transformation (3%) which does not include lithostatic pressure and density variations as they are relatively small at BSR depths and nearhydrostatic conditions are assumed [61, 62]; Ganguly et al. [24] on the contrary assume lithostatic pressures within the upper sediments of the Cascadia margin that causes 8%–12% higher heat flow values that better fit to measured values;(ii)the error of the geothermal gradient that includes the temperature variation at the BSR depth (5%) that is the difference from the stability curve to measured insitu values at the Pacific margin [20] and the error of the estimated seafloor depth of 1% as the velocity within the water column varies only slightly between 1490 m/s and 1510 m/s; the error increases with increasing depth below the seafloor as it is a propagating error [63] but stays within a few percent in the upper sediment layer; we assume an error of 3% for the determination of the BSR depth; the uncertainty in the estimation of the BSR depth is the main factor controlling the total uncertainty;(iii)the error of the thermal conductivity (5%) that is quite small because it is based on insitu data from ODP Leg 170 [20, 33].7. Conclusions
(i) The BSR is characterized by several properties in conventionally processed seismic sections like the phase reversal, the seafloor simulating characteristics, and the crosscutting of strata. Other characteristics require further processing efforts but deliver profound information, like the AVO effect. In this work we apply a fast qualitative analysis by comparing far to near offset CMP stacks that successfully reveals the BSR against sediment reflectors as can be seen in Figure 6 (1a and 1b).
(ii) Not all continuous reflectors with a phase reversal that may even show an AVO effect are reflecting the base of the GHSZ. Therefore the forward modeling of the BSR is a useful constraint for further interpretation on far offset CMP stacks. In this way both independent methods supplement each other: Figure 6 (2a and 2b) reveals two phasereversed reflectors beneath an eroded surface close to each other with strong amplitudes in the far offset stacks. We identify the BSR in the vicinity of these ambiguous reflections, calculate the geothermal gradient with the temperature at the BSR by the gas hydrate stability curve of Tishchenko et al. [22] and the temperature and depth at the seafloor, and interpolate it beneath the eroded surface. From the interpolated geothermal gradients we retrieve the potential BSR depth (Figure 9). The potential BSR depth goes along with the deeper of these two reflectors which is therefore identified as the BSR.
(iii) The modeled BSR depth in this work has an uncertainty of about 35 m if it is calibrated by a regular spread of clear BSRs. For defining the depth of the gas hydrate stability zone the error of the traveltimedepth transformation of the seismic section has to be included.
(iv) The calculated heat flow offers another possibility to verify or revise BSR interpretations. Reflectors that exceed its uncertainty boundaries are not confirmed as BSRs, though they may show some BSR characteristics. Instead, they may reflect fluid or gas accumulations along sediment discontinuities (e.g., turquoise reflector on the left of Figure 9)
(v) The heat flow trend at the Costa Rica continental margin that we derive from BSR depths has an inaccuracy of 44% and is mainly controlled by the uncertainty to estimate the BSR depth from seismic velocities. The heat flow trend fits well to the heat flow trend derived from insitu data south of the Paleo Plate Boundary and an analytical solution [51]. Observed deviations are interpreted to be related to thermal anomalies, for example, in the frontal prism and the change of the subduction angle around 30 km landward of the trench.
The broader implication of our work is that the depth of the base of the gas hydrate stability zone is determined with higher confidence, which is, for example, important for nonseismic methods to calculate gas hydrate concentrations. Additionally the derived heat flow trend and its variations from an expected trend support geological interpretation of the tectonic history of the margin.
Acknowledgments
The work presented here has been carried out in the framework of Romina Gehrmanns Diploma thesis and has been supported by the German Research Foundation (DFG) under references MU 2662/12 and HE 3512/22. The authors gratefully acknowledge the team of cruise BGR99 for acquiring the reflection seismic data and furthermore Ingo Grevemeyer, the University of Bremen, and Eli Silver for the heat flow data acquired during Meteor Cruise M54 and Atlantis 2 Cruise 1994. Finally, they would like to thank all external reviewers for fruitful comments on the manuscript as well as Hans Keppler, JeanPaul Foucher, and Michael Riedel for their constructive revisions.
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Copyright © 2009 Romina Gehrmann et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.