Geolander pioneers high-density nodal seismic in Angola with first STRYDE deployment
STRYDE, the market-leading provider of land seismic nodal technology, has announced the deployment of its system for an onshore seismic campaign in Angola. The project, led by Geolander, will support a major oil and gas operator’s carbon capture and storage (CCS) ambitions by improving understanding of subsurface conditions and storage potential.
STRYDE’s ultra-lightweight, autonomous nodes will be used to acquire high-density seismic data, enabling detailed imaging of geological structures. This data will play a key role in evaluating potential CO₂ storage sites, including reservoir characteristics, caprock integrity, and fault systems, critical factors for ensuring safe and long-term carbon sequestration.
Peritue Miguel, General Manager of Geolander, commented: “STRYDE’s nodal system has enabled us to optimize crew size and logistics, while maintaining an efficient pace of survey operations. Its simplicity and compact design make it ideally suited for high-density deployments, where closely spaced nodes are essential to capture the level of detail needed to identify subtle geological features that can impact storage performance.”
As CCUS continues to gain momentum as a key decarbonization strategy, high-resolution seismic data is becoming increasingly important for reducing subsurface uncertainty and supporting confident decision-making.
“This project represents STRYDE’s first deployment in Angola and marks the beginning of what we expect to be a strong collaboration with Geolander,” said Víctor Villamizar, Head of Business Development at STRYDE. “We are proud to support the delivery of high-quality seismic data that underpins critical subsurface evaluations for CCS projects.”
STRYDE has been deployed on more than 400 land seismic surveys worldwide since its inception in 2019, supporting natural resource exploration, the identification of subsurface storage sites, pioneering scientific research, and civil engineering projects - providing the high-resolution data needed to reduce uncertainty and inform critical subsurface decisions.
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