Detection of Salt-dome Boundary Surfaces in Migrated Seismic Volumes Using Gradient of Textures

نویسندگان

  • Muhammad A. Shafiq
  • Zhen Wang
  • Asjad Amin
  • Tamir Hegazy
  • Mohamed Deriche
چکیده

Salt domes, an important geological structure, are closely related to the formation of petroleum reservoirs. In many cases, no explicit strong reflector exists between a salt dome and neighboring geological structures. Therefore, interpreters commonly delineate the boundaries of salt domes by observing a change in texture content. To stimulate the visual interpretation process, we propose a novel seismic attribute, the gradient of textures, which can quantify texture variations in three-dimensional (3D) space. On the basis of the attribute volume, we apply a global threshold to highlight regions containing salt-dome boundaries. In addition, with region growing and morphological operations, we can remove noisy boundaries and detect the boundary surfaces of salt domes effectively and efficiently. Experimental results show that by utilizing the strong coherence between neighboring seismic sections, the proposed method can delineate the surfaces of saltdome boundaries more accurately than the state-of-the-art detection methods that label salt-dome boundaries only in twodimensional (2D) seismic sections.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Noise-robust detection and tracking of salt domes in postmigrated volumes using texture, tensors, and subspace learning

The identification of salt-dome boundaries in migrated seismic data volumes is important for locating petroleum reservoirs. The presence of noise in the data makes computer-aided saltdome interpretation even more challenging. We have developed noise-robust algorithms that could label boundaries of salt domes effectively and efficiently. Our research is twofold. First, we used a texture-based gr...

متن کامل

A texture-based interpretation workflow with application to delineating salt domes

In this paper, we propose a texture-based interpretation workflow and apply to delineate salt domes in 3D migrated seismic volumes. First, we compute an attribute map using a novel seismic attribute, three-dimensional gradient of textures (3D-GoT), which measures the dissimilarity between neighboring cubes around each voxel in seismic volume across time or depth, crossline, and inline direction...

متن کامل

A Novel Approach for Salt Dome Detection using A Dictionary-based Classifier

In this paper, we present a dictionary based classification approach for salt dome detection using texture based attributes. The proposed algorithm overcomes the drawbacks of existing texture attributes based salt dome detection techniques which are heavily dependent upon the relevance of attributes to the geological nature of salt domes and the number of attributes used for classification. The...

متن کامل

Imaging Salt Dome Flank and Dipping Sediments using Time Reversed Acoustics

In this paper we define the theory and basic principles to move (redatum) the surface shots from a walk away VSP to be as if they had been located in the borehole. We will refer to this theory using several of the terms used in the literature including Time Reverse Acoustics (TRA), Seismic Interferometry (SI) and Virtual Source (VS) technology. Regardless of the name, the theory is built upon r...

متن کامل

Detection of seismic discontinuities

In seismic images, the opaque oscillatory nature of the ever present sedimentary layers often hide the boundaries between sedimentary packages, such as faults or river channels. Interpreters painstakingly identify these boundaries by inspecting individual planes of the image volume. Discontinuity attribute maps computed from image volumes depict these boundaries and greatly simplify and acceler...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015