Research

Microseismic Monitoring

• C-DaPS conducts microseismic monitoring, which involves the acquisition of continuous seismic data for the purpose of locating and characterizing seismic activity in nonconventional reservoirs such as tight-gas, tight-oil or heavy-oil fields. Microseismic monitoring differs in many respects from seismic surveys that are traditionally used for oil and gas exploration and development, including the type of source, the receivers and methods of analysis.

Geomechanics

• We study mechanical state of the Earth’s crust and the processes occurring in it under the influence of natural physical factors. It involves the study of the mechanics of soil and rock.

Structural Geology

• Our research also involves structural geology, where we investigate the form, arrangement, and internal structure of rocks, particularly the description and analysis of small to moderate geologic structures, such as folds, faults, shear zones that result from the application of deforming forces.

Induced Seismicity

• Induced seismicity is one of our focus area which refer to the occurrence of earthquakes caused by human activities, such as fluid injection or extraction, mining, and reservoir water storage. These activities alter the Earth’s stress conditions, leading to seismic events. Typically less intense than natural earthquakes, these man-made tremors are a growing concern, necessitating careful monitoring and mitigation efforts to minimize their impact.

Distributed Acoustic Sensing (DAS)

• DAS in geoscience is a cutting-edge technology that utilizes fiber optic cables to detect acoustic signals along their length, enabling detailed subsurface monitoring. Primarily used for seismic imaging, DAS transforms fiber optic cables into thousands of vibrational sensors, offering high-resolution data for studying earth processes.

Data Processing

• We also examine a variety of approaches such as statistical wavelet estimation, blind deconvolution, independent component analysis and empirical mode decomposition to find novel methods to enhance the signal-to-noise ratio and resolution of seismic data.

Machine Learning (ML)

• We adopt machine learning to analyze geological structures and its data based on physical responses and geometries and provide predictions and classifications.

Interferometric Synthetic-Aperture Radar (InSAR)

• InSAR (Interferometric Synthetic Aperture Radar) is a technique for mapping ground deformation using radar images of the Earth’s surface that are collected from orbiting satellites.