Research Article | Open Access

Shemer Keydar, Benjamin Medvedev, Abdallah Al-Zoubi, Michael Ezersky, Emad Akkawi, "3D Imaging of Dead Sea Area Using Weighted Multipath Summation: A Case Study", *International Journal of Geophysics*, vol. 2013, Article ID 692452, 7 pages, 2013. https://doi.org/10.1155/2013/692452

# 3D Imaging of Dead Sea Area Using Weighted Multipath Summation: A Case Study

**Academic Editor:**Umberta Tinivella

#### Abstract

The formation of sinkholes along the Dead Sea is caused by the rapid decline of the Dead Sea level, as a possible result of human extensive activity. According to one of the geological models, the sinkholes in several sites are clustered along a narrow coastal strip developing along lineaments representing faults in NNW direction. In order to understand the relationship between a developing sinkhole and its tectonic environment, a high-resolution (HR) three-dimensional (3D) seismic reflection survey was carried out at the western shoreline of the Dead Sea. A recently developed 3D imaging approach was applied to this 3D dataset. Imaging of subsurface is performed by a spatial summation of seismic waves along time surfaces using recently proposed multipath summation with proper weights. The multipath summation is performed by stacking the target waves along all possible time surfaces having a common apex at the given point. This approach does not require any explicit information on parameters since the involved multipath summation is performed for all possible parameters values within a wide specified range. The results from processed 3D time volume show subhorizontal coherent reflectors at approximate depth of 50–80 m which incline on closer location to the exposed sinkhole and suggest a possible linkage between revealed fault and the sinkholes.

#### 1. Introduction

During the last thirty years, hundreds of sinkholes have appeared along the Dead Sea (DS) shoreline in both Israel and Jordan (Figure 1) [1–3]. The process began in the southern part of the DS coast and slowly spread northward along the western coast. The eastern coast which is usually steeper has been less affected at the flat-lying region close to the Lisan Peninsula. The sinkholes have already caused considerable damage to infrastructure, and there is obvious potential for further collapses beneath main highways and other infrastructure.

In order to understand the relationship between a developing sinkhole and its tectonic environment, a numerous number of high resolution seismic reflection surveys were carried out using common midpoint (CMP) technique [3, 5, 6]. The high-resolution seismic reflection method is intended for the study faults and conduits in the shallow subsurface (down to 100–200 m deep), which could bring the fresh water to the salt layer presumably from below. The conventional processing technique, the so-called common midpoint (CMP) method, essentially consists of a “stack” (summation) of properly corrected traces thus increasing the signal-to-noise ratio. However, in the shallow subsurface, the conventional CMP method causes a loss of information because of the problem of “stretching” of data caused by NMO time correction formula. That is why a new 2D and 3D free stretch imaging approach had been applied in the framework of the MERC project M27-050 in order to examine tectonic hypothesis connecting the sinkholes with tectonic faults [7–9]. This approach involves zero-offset common shot point (CSP) stacking and diffraction imaging method [9]. On the basis of those methods in combination with a new weighted multipath summation technique [10, 11], a package of programs was written. The CSP stack and diffraction method are complementary to each other and reveal useful information about the subsurface. The diffraction method serves as a tool for detection of faults and voids, while the CSP stacking contains information about the structure of the subsurface. These methods were applied along the Dead Sea’s shorelines. We have carried out several new seismic surveys along line crossing the sinkhole lineaments and reinterpreted a number of previous reflection sections. The 2D imaging technique has been presented in [7]. This paper examines the new 3D imaging approach and its application to 3D data that was acquired at the western shoreline of the Dead Sea. The results of the imaging allow better understanding between a developing sinkhole and its tectonic environment. We give here a short description of 3D zero-offset stacking and multipath weighted summation. For a more comprehensively discussion of the methods, one can read in the relevant papers.

#### 2. The 3D Zero Offset Stacking Method

The basis of the 3D zero-offset stacking method is a new normal moveout (NMO) time correction formula for three-dimensional media as function on wavefront parameters [11, 12]. One of these parameters on which the proposed time correction formula is based is the emergence angle , defined as the acute angle between the wavefront normal and the normal to the acquisition plane at the CSP. Let us consider a central ray and its associated wavefront arriving at a common shot point (CSP) (Figure 2).

An ellipsoidal wavefront emerges at the CSP location . It has two independent vectors **e**_{1} and **e**_{2} tangent to the wavefront and the normal **n**. The emergence angle is the angle between **n** and the normal to the acquisition plane, **k**. Additional fundamental parameters on which the time correction formula is based are the curvatures of the wavefront. It is well known from the differential geometry of surfaces that at each point of the wavefront two principal curvatures can be defined, being the eigenvalues of the matrix of second derivatives. These curvatures are the minimal and maximal curvatures and are related to the mean and Gaussian curvatures. The principal curvatures are associated to two perpendicular principal directions, which together with the wavefront normal form a rectangular system of axes. The curvature of the wavefront is completely described by the two principal curvatures and the angle the principal directions make with the general coordinate system. This is denoted in Figure 2 as **i**, **j**, and **k**. The principal curvatures can be expressed in terms of principal radii of curvature, which play an important role in the traveltime correction expressions derived in this paper. Figure 3 illustrates the case where one of the principal directions is normal to **k**. Based on those principles and eikonal equation only, the following 3D travel-time correction formula for an arbitrary system of coordinates was obtained:
where is the emergence angle of the wavefront at point , azimuth angle, defined as the angle between the axis and the principal direction of the wavefront at point , and are the offsets along the axis and . For a given source receiver, gather the moveout equations that express the moveout correction with respect to a zero-offset trace by five parameters measured at the central point. The parameters are principal radii of the wavefront , , the azimuth angle , the emergence angle , and the reference velocity .

In the following, we give a short description of the weighted multipath summation.

#### 3. Multipath Summation

The summation of 3D stacking is performed along time surfaces defined by (1). The summation can be implemented using either of the two approaches. In the first conventional approach, the target waves are stacked along the time surfaces defined by wavefront parameters and velocity. These optimal parameters usually are estimated using optimization problem which consists of finding parameters which maximize some correlation functional. We use an alternative, more formal recently proposed multipath summation with a proper weighting [10, 13–15]. The weighted multipath summation allows us to replace the complex optimization problem of estimating the optimal parameters, by summation along all possible surfaces that are created from small variations of those parameters. The weighted multipath summation (WMPS) can be described by the following expressions: where is an “optimal” weighting function and is an undimensional large number. is the image obtained for fixed parameters , namely, for radii of curvatures azimuth and emergence angles. is a seismic trace for a given source-receiver pair. is travel time from shot to receiver . The summation (2) with the proper weight is performed for all possible parameter values within a specified range. The image defined by means that for every point to be imaged, seismic amplitudes are stacked together along all possible time surfaces defined by (1). The constructive and destructive interference of the amplitudes contributed by each time surface produces an image close to that obtained by stacking with the “correct” parameter [16].

#### 4. Case Study

##### 4.1. Dead Sea Area—Brief Tectonic Setting

Dead Sea (DS) is a pull apart basin or strike**-**slip one undergone to NW-SE compression and NE-SW tensile stress (Figure 4(a)). DS consists of two basins: the northern one (deeper) (denoted by 1 in Figure 4(a)) and the southern one (shallower) (denoted by 2 in Figure 4(a)). And it is extended in approximately N-S direction.

**(a)**

**(b)**

Numerous faults have been detected through DS area (Figure 4(b)) and have mainly extended in the same direction [4, 17, 18]. The Dead Sea is located nowadays at elevation of −426 m below the sea level (b.s.l).

##### 4.2. Study Site

Mineral beach study site (Figure 1) is located between the Dead Sea shoreline at the east and route number 90 (the main road along the western DS shore) at the west. The area is characterized by N-S normal faults [6]. Around Mineral Beach, sinkholes develop in both mudflat (southern boreholes Mn-2, Mn-5) and alluvial fan (northern borehole Mn-4) areas. Boreholes show that salt layer at the northern part of the area is located at 10 m deeper (−434 m elevation) than that at the southern one (−424 m). At the northern part of the area, salt is overlain by sandy-gravel sediments, whereas the southern part is composed of DS mud (clay) overlaying the salt.

The field acquisition covers 120 m by 60 m and consists of seven receiver lines in a 10 m interval between them. Shooting was carried out using six shot lines (288 shots in total) and each shot includes 96 channels in 2.5 m interval between them. The distance between shot lines is 10 m (Figure 5).

We used truck mounted accelerated weight (Digipulse) as an energy source and single 10 Hz geophone per station. In order to image the new developing fault in details, the survey was designed with a full azimuth cover for offsets less than 30 m (Figure 6).

**(a)**

**(b)**

The data was recorded using 0.5 msec sample rate and 0.5 sec record length. Typical common shot gathers are seen on Figure 7.

The data was processed using the new 3D stacking algorithm. The range of variation of parameters in (2) was as follows: radii of curvature from 3 to 600 meter, emergence angle from −5 to +5 degree, and velocity from 300 m/s to 1000 m/s. The value of was 900. The results from processed 3D imaging are presented in Figure 8(a) as a time sections along reflection lines and in Figure 8(b) as a 3D cube time section.

**(a)**

**(b)**

**(c)**

A time map of the first reflector is presented in Figure 8(c). On all the figures, are clearly seen subhorizontal coherent reflectors at approximate depth of 50–80 m, which incline on closer location to the exposed sinkhole. In addition, faults are seen on all sections (Figure 8(a) sections denoted by 2, 5, and 7). These faults are clearly seen on reflector presented in Figure 8(c). The results are consistent with the results that were obtained from a previous 2D study [3] at the same site. This work provides the first 3D HR imaging on the edge of a sinkhole and nearby fault. The results of the seismic interpretation of 3D image suggest a possible linkage between revealed fault sinkholes and field observation.

#### 5. Conclusions

In order to understand the relationship between a developing sinkhole and its tectonic environment, a high-resolution (HR) three-dimensional (3D) seismic reflection survey was carried out at the western shoreline of the Dead Sea. The 3D image of the subsurface was obtained by the use of a recently developed 3D imaging approach. The core of this approach is a new 3D NMO time correction surface formula. Imaging of subsurface is performed by a spatial summation of seismic waves along these time surfaces using recently proposed multipath summation with proper weights. The multipath summation is performed by stacking the target waves along all possible time surfaces having a common apex at the given point. This approach does not require any explicit information on parameters since the involved multipath summation is performed for all possible parameters values within a wide specified range. The results from processed 3D time volume show subhorizontal coherent reflectors at approximate depth of 50–80 m which incline on closer location to the exposed sinkhole and suggest a possible linkage between revealed fault and the sinkholes.

#### Acknowledgments

This study has been performed within the framework of MERC project M27-050 fund sponsored by the USAID. Thanks are due to the support of the Israel Ministry of Infrastructure. The authors are also grateful to the Geophysical Institute of Israel for permission to publish this paper.

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#### Copyright

Copyright © 2013 Shemer Keydar 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.