EXPLORATION • DRILLING • FIELD SERVICES
Model building with extra intelligence
powering the whole process from uploading the data to running the computations to viewing the results. “Tis three-way partnership allowed us to quickly generate results and capitalise on the burst capability available. Tis was used to create value for Tullow in prospective acreage in the Central Atlantic Margin,” Shah details.
Nr Nikhil Shah, founder and chief operating officer, S-Cube
Te Tullow results of XWI have been totally user driven, as Shah explains: “Te results have been as a result of Tullow using the functionality of S-Cube Cloud platform to identify an opportunity to increase convergence beyond the baseline score of 59% to 75%.” Tese results from the pilot project were co-presented by at the ISC (International Super Computing) event in Frankfurt with Tullow saying “FWI has made automated high-resolution velocity model building a reality and now XWI on AWS is taking this to the next level. Using S-Cube, we are able to robustly deploy XWI on the cloud in the highly agile and interactive manner needed for superior quality results that give E&P competitive advantage.” Shah describes how his technology is being deployed elsewhere in the industry: “It has enabled predictive power to replicate sonic logs from already drilled wells in blind well tests, where the sonic log readings have been held back from the data fitting.
The XWI feedback loop “Starting far away from the downhole
measurements, the model velocity at well locations can shift in the correct direction with no forcing required by up to 500ms. Hence the obtained models can be used to place future wells with confidence.” When asked what the ultimate impact of his technology on oilfield exploration could be, Shah sums this up succinctly. “Fundamentally, the aim is for all modern marine seismic data to pass through XWI on AWS to generate rock velocity models with unprecedented accuracy, resolution, automation and predictive power. “We will be able to reduce model building time to three weeks rather than nine to 12 months; identify untapped deposits with more certainty; and minimise drilling risk and reduce dry holes.” Not one to rest on his laurels, Shah hints
that there’s even more to come from S-Cube in the near future: “We’re working on enabling real-time decision making whilst a seismic survey is being conducted.”
AWARD-WINNING APPROACH D
r Nikhil Shah has recently been celebrated for his achievements in revolutionising the energy
sector through the development of his AI technology that helps businesses optimiseoperational success whilst reducing costs. Shah was named Young
Entrepreneur of the Year at the Asian Business Awards in March, in recognition of his success in theorising, patenting and
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implementing the innovative Adaptive Waveform Inversion (AWI) oilfield sensor technology. Shah has headed up
S-Cube through its path to commercialisation since 2015. Since inception, the company has been instrumental in delivering pioneering solutions and was heralded as an innovator in the energy sector early on, receiving an Industry Breakthrough award at EAGE 2015.
Under Shah’s guidance, S-Cube
has automated digital model generation from exploration seismic data. In 2018, S-Cube launched the first
ever ‘Pay as You Go’ cloud SaaS user model for the energy sector, running on the Amazon Web Services for adaptively running projects spanning thousands of square kilometres, expanding and contracting as user needs dictate.. l
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