Case study
A case study on the first-ever high-density nodal seismic survey completed by DTEK Oil&Gas, using STRYDE's technology and in-field data processing solution.
DTEK Oil&Gas
Runovshchynska field, Ukraine
11 km²
Orthogonal, 5 m inline sampling and 20 m crossline sampling
30,000
Vibroseis and dynamite
13 million traces
Completed using STRYDE Lens™
This case study highlights the operational achievements and data outcomes from DTEK Oil & Gas's ground-breaking high-density nodal seismic survey. This first of its kind survey in Ukraine was conducted using STRYDE's innovative technology and in-field data processing solution, STRYDE Lens™.
Celina Giersz, Senior Processing Geophysicist, provided an in-depth account of the project to World Oil, detailing the survey's acquisition, processing methodologies, and the actionable insights generated for the drilling operations in the Runovshchynska field, in Ukraine.
DTEK purchased the STRYDE Nimble Acquisition System, a cost-effective, agile, and highly portable solution equipped with 30,000 nodes, along with the necessary hardware for node charging and seamless data harvesting. This system is designed to capture high-density seismic data, enabling more accurate subsurface insights while maintaining operational flexibility.
To further accelerate the delivery of decision-ready seismic images, DTEK employed STRYDE Lens™, an advanced in-field processing on-the-edge solution. Remotely accessed by STRYDE's land data processing experts in London, UK while the acquisition was ongoing, this approach proved to enable a record-breaking turnaround time for interpretation-ready seismic data and actionable results.
Resulting in reduced seismic survey costs, logistics, and HSE risk exposure.
The affordability of the STRYDE nodes allowed the trace density to be increased by a factor of 4, resulting in a better subsurface image.
Allowing DTEK to complete the appraisal of well locations as early as possible.
Quick access to the seismic image allowed the drilling equipment to be relocated efficiently, minimizing rig downtime and associated costs.