Minor faults, subsidence columns, coal tunnels and gob are very important in coal mining because they can cause flooding accidents, broken coal beds, added fissures, and gas accumulation. All of these factors will increase coal mining risk. In addition, minor faults also affect the design of roadways. In this article, we have achieved satisfactory results in identifying minor faults, subsidence...

limited seismic data quality and complex tectonics make for less than ideal interpretation conditions. however, modern geometric attributes including coherency has shown to be effective in showing the lateral extents of subtle and small-scale geologic features not usually visible in conventional seismic sections. this geometric attributes are better suited than some older generation seismic att...

Iran is located in a seismically active region and exposed to seismic activity from many seismic sources and active faults. Probabilistic seismic hazard assessment is the basis for many pre and postearthquake risk management issues. Definition and parameterization of active faults and seismic sources are among the most important aspect for reliable PSHA studies. In this paper an effort in desig...

Normal reflection from a fractured reservoir is analyzed using frequency-dependent seismic attributes. Processing of 3D low-frequency seismic data from a West-Siberian reservoir produced an accurate delineation of the fractured hydrocarbon-bearing zones. P-wave propagation, reflection and transmission at an impermeable interface between elastic and dual-porosity poroelastic media is investigate...

Shallow high-resolution seismic reflection techniques proved valuable in detecting, delineating, and advancing interpretations of a regional fault and associate local structural features previously speculated from sparse well data in northeastern Wisconsin. This seismic survey was the first of its kind in this part or Wisconsin and provided solid evidence that the method will work well in this ...

All geophysical methods detect fractures indirectly [e.g. NAS/NRC, 1996]. Typically several levels of interpretation follow the collection of raw geophysical data. Field measurements must first be interpreted (for example from travel time to velocities or identification of the origin of seismic scattering features in the coda). Then the fracture properties must be deduced using models (from sei...

Seismic interpreters face an enormous challenge to ensure that the ever increasing amounts of data does result in improved exploration success and better recovery. Seismic data contains vast amounts of information and interpreters need to analyse a number of attributes of the data simultaneously to understand the behaviour of geological systems (Henderson, et al., 2008). A high level of cogniti...

Time-frequency analysis is an important technology in seismic data processing and interpretation. To localize frequency content in time, we have developed a novel method for computing a time-frequency map for nonstationary signals using an iterative inversion framework. We calculated time-varying Fourier coefficients by solving a least-squares problem that uses regularized nonstationary regress...

Artificial neural networks can be used effectively to identify and classify multiple events in a seismic data set. We use a specialized neural network, a self-organizing map, that tries to establish rules for the characterisation of the physical problem. Selected seismic data attributes are used as input patterns, such that the self-organizing map arranges the data in a manner that forms cluste...