Jacquelyn Daves

Title: Jacquelyn Daves: Innovator in Hydrocarbon Detection

Introduction

Jacquelyn Daves is a prominent inventor based in Houston, TX, known for her innovative contributions to the field of hydrocarbon detection. With a focus on utilizing advanced machine learning techniques, she has developed methods that enhance the analysis of seismic data for geological exploration.

Latest Patents

Daves holds a patent titled "Detection of hydrocarbon presence in subsurface from seismic images using relational learning." This computer-implemented method provides a novel approach to detecting geological elements or fluids in the subsurface by analyzing seismic images. The method employs unsupervised learning techniques, such as variational machine learning, to identify relationships between different sets of seismic data. This innovative framework allows for the detection of hydrocarbons by learning from partially-stacked or pre-stack images, ultimately improving the accuracy of geological assessments.

Career Highlights

Jacquelyn Daves is currently employed at ExxonMobil Technology and Engineering Company, where she applies her expertise in seismic data analysis and machine learning. Her work has significantly contributed to advancements in the energy sector, particularly in the efficient exploration of hydrocarbon resources.

Collaborations

Daves collaborates with esteemed colleagues, including Kuang-Hung Liu and Huseyin Denli, who share her commitment to innovation in the field of geosciences. Their combined efforts enhance the research and development of cutting-edge technologies for hydrocarbon detection.

Conclusion

Jacquelyn Daves exemplifies the spirit of innovation in the energy sector through her groundbreaking work in hydrocarbon detection. Her contributions not only advance scientific understanding but also pave the way for more efficient resource exploration.