01 A SMARTER WELL DESIGN
When it comes to the profile design, Wellvai is empowered by AI and mathematics to make sure that the well is geomechanically stable and is at its minimum energy level.
03 GEOLOGICAL RISK ASSESSMENT
Wellvai is capable of reliably predicting the possibility of the wellbore collapse, fluid loss, hydraulic fracturing as well as blowout.
05 COLLISION AVOIDANCE
In case of multilateral drilling or high density of deviated wellbores, Wellvai would come in handy for calculating the collision probability as well as determining the optimal well path.
02 WELLBORE STABILITY ANALYSIS
The safe mud window is computed using poroelasticity and elasticity theories. AI and mathematics take care of the mechanical and elastic parameters. Wellvai keeps the well stable to save time and cost.
04 WELLBORE POSITIONING
Accurately estimating the ellipsoidal uncertainty of the wellbore position in each depth is yet another capability of Wellvai.
06 CUTTINGS TRANSPORT OPTIMIZATION
Enhanced wellbore cleaning and reducing the cuttings accumulation risk in highly deviated and extended reach wellbores are also achievable by Wellvai.
07 BOTTOM HOLE ASSEMBLY DESIGN
08 CASING DESIGN
To attain the designed WOB, maximum ROP and minimum drillstring fatigue problems, Wellvai can select the best BHA components using AI.
Unlike conventional approaches to casing design, Wellvai provides type selection and calculates the casing depth based on the results of geomechanical modeling. As a result, operator is able to safely drill the zones that are mechanically unstable. Moreover, Wellvai’s approach avoids further casing collapse problems.
09 HYDRAULICS OPTIMIZATION
Wellvai enables the user to monitor the hydraulic pressure loss in each segment of the drillstring in real-time regime through computation and optimization of the drilling hydraulics.
10 DRILLING OPTIMIZATION
Wellvai maximizes the drilling speed and minimizes the drilling costs by choosing a specific combination of the load on the bit, rotation speed of the bit and parameters of the surface pump performance. Unlike available tools, Wellvai employs the rheological parameters of the drilling fluid, obtained from the geomechanics, as inputs of the optimization algorithms. This ensures higher operational safety. AI is responsible for modifying the computed drilling parameters as well as updating the pre-model results based on the available drilling data of the neighboring drilled wells.