Geophysical Services

- Mining exploration: high-resolution imaging of economically viable earth minerals via advanced geophysical techniques.

- Hydrocarbon exploration: integrated geophysical surveys for subsurface hydrocarbon detection and mapping.

- Seismic refraction tomography (SRT) and MASW : high-fidelity imaging of subsurface velocity, elastic moduli, structures for lithological and structural analysis.

- Seismic well logging: advanced downhole, crosshole, and P-S logging for elastic moduli and in-situ characterization of subsurface formations.

- Geotechnical investigation: comprehensive analysis of soil and rock properties for infrastructure development (dams, foundations, tunnels, underground powerhouses, storage facilities).

- Subsurface fracture, conduit, and cavity detection: high-resolution imaging of shallow and deep subsurface features via advanced geophysical techniques.

- Aquifer mapping and groundwater investigation: integrated geophysical and hydrogeological surveys for subsurface water resource characterization.

- Geophysical well logging: advanced electrical, optical imaging, and coring services for in-situ subsurface formation evaluation.

- Groundwater recharge and abstraction site zonation: geophysically-informed delineation of optimal recharge and abstraction zones.

- Industrial pollutant plume investigation: high-resolution imaging of subsurface contaminant distributions.

- Seawater intrusion investigation: geophysical monitoring of coastal aquifer salinization.

- Archeological investigation and buried object detection: non-invasive geophysical surveys for cultural heritage preservation and buried feature location.

- Error correction via robust statistical methodologies, mitigating artefacts and ensuring data fidelity.

- Advanced geophysical data processing and inversion techniques, leveraging regularization methods and inverse theory for accurate subsurface characterization.

- Transform-based analysis, utilizing Fourier, Radon, and Wavelet transforms to extract salient features and facilitate dimensionality reduction.

- Least-squares data modeling, invoking one-sided functions and singular value decomposition (SVD) for robust parameter estimation and model calibration.

- Multichannel time series analysis, employing matrix factorization and eigendecomposition to elucidate subsurface dynamics and identify coherent signals.

- Spatiotemporal subsurface dynamics characterization, integrating seismic, electromagnetic, and gravity data to constrain models and elucidate complex subsurface processes.

- Seismic data processing via wave equation-based methods, including finite-difference, finite-element, and spectral-element techniques for accurate wavefield simulations.

- Parameter estimation of geophysical objects, utilizing Bayesian inference, Markov chain Monte Carlo (MCMC), and machine learning algorithms for robust uncertainty quantification.

- Geophysical data integration, combining disparate datasets via joint inversion and fusion techniques to enhance subsurface resolution and reduce ambiguity.

- Constrained and time-lapse inversion, incorporating regularization techniques (L1, L2, Cauchy) and 4D inversion to monitor subsurface changes and optimize model updates.