Drilling through narrow beds of hydrocarbons isn’t easy -- a few feet in the wrong direction and the well won’t produce as much oil as it should. Drill too far out of zone, and you have to start a new borehole, costing millions. Unfortunately, most drilling techniques can’t look very far ahead of the drill bit, so just like a driver with no headlights, a lot of expensive mistakes are made. Better predictive analytics reduce drilling risk and drilling costs, and increase the amount of recoverable oil and gas in the well.
Expero designed the user experience for a complex data-driven analytics package in just three months, enabling implementation for a time-sensitive customer. Expero’s strong oil & gas experience was critical in making sure the design met the common challenges in subsurface software: complex data driven visualization, coordinated displays of information, large data volumes, and competing user demands from expert personas.
At least three distinct personas are involved in drilling such a well: drilling engineers, directional drillers, and geosteerers. Integrating the three workflows is a challenge which, until now, hasn’t been solved. Presenting the relevant analytics recommendations in a way that served each person’s needs was a difficult design problem. Several Expero consultants with deep subsurface expertise (spanning geology, drilling, and seismic data) worked with the client’s subject matter experts to design an experience that was useful, explanatory, and attractive.
Expero’s design process relied on guided interviews with the client experts, brainstorming and design thinking from Expero’s oil & gas practice experts, and review of gradually improving designs. An Expero architect with subsurface software experience worked with the group to ensure the designs were technically feasible given the constraints of the existing datasets and algorithms.
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