SBIR/STTR Research Award

A Real-Time Modeling and UQ Toolbox for Complex Subsurface Characterization

Award identifier 6332d4ea0267bbaa56db79c59021d3fd939afe15b52bfa697db8a92bd2fc78eaAwarding agency Department of Energy

Award amount

$250,000

Program and phase

STTR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
CYENTECH CONSULTING LLC
Proposal award date
2021-02-22
Contract end date
2022-02-22
UEI
VMM3CZ1XLGS3
Solicitation number
DE-FOA-0002359
Topic code
02a

Research abstract

Most of future oil and gas exploration and production will be moving into more challenging environments and directional drilling is an essential technique for tapping the “difficult” oil and gas deposits. The goal of directional drilling is to increase production, reduce cost and minimize environmental impacts during and after drilling. Successful directional drilling jobs depend on accurate and fast modeling algorithms, which simulate well logging tool responses, to keep the wellbore in a hydrocarbon pay zone. Simulating logging tool responses and characterizing subsurface structures in complex underground environments can be prohibitively expensive. This project will provide a low-cost and high-performance solution for the forward modeling problem by hardening the UQTk library developed by DOE. The related research will impact DOE Office of Fossil Energy by directly addressing the mission to ensure responsible development of America’s oil and gas resources. Under this proposal, Cyentech will develop a modeling and UQ tool box that provides proactive guidance for real-time well placement planning and well trajectory adjustment while drilling. Cyentech propose to accomplish the above goal through hardening the UQTk library, developed by the DOE FASTMath SciDAC institute. During the Phase I project, we will validate the feasibility of using UQTk to generate surrogates for modeling of well logging tools and characterizing subsurface formation in real time, build a workflow to automate the proactive directional drilling process, design a framework for web-based GUI to support ubiquitous computing, and test the system on field data. If the project succeeds, it will lead to a commercial software product for efficient directional drilling services. The product would significantly improve the performance of the oil field production, reduce non-drilling time, and cut the drilling cost. This product will also help medium and small size independent oilfield service companies and drilling tool manufacturers of the U.S. to enter the more advanced and lucrative global directional drilling market.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $4,205,199. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy

Agency intelligence

Department of Energy

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