Solution

AIM Well Planning

AIM Well Planning

AIM Transforms Infill Well Planning in Mature Fields
AIM Transforms Infill Well Planning in Mature Fields
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.

From weeks of manual design to clear options in under an hour — giving teams time to focus on value, not drafting.

Client(s)

Equinor

ConocoPhillips

Dragon Oil

ADNOC

PDO

Sector

Oil & Gas

Challenge

Field Development

Decision lens

Frontend Project Design

Product

AIM

Geography

Europe

Middle East

The challenge

The challenge

Planning new infill wells in mature, congested fields demands tight collaboration between subsurface, drilling, and facilities. But in reality, the process is often manual, siloed, and slow - costing teams time, confidence, and value.

Teams spend weeks iterating through options, only to run out of time before the best opportunities are fully explored. Conflicting opinions can cloud judgment, leaving leaders uncertain and value left on the table.

Planning new infill wells in mature, congested fields demands tight collaboration between subsurface, drilling, and facilities. But in reality, the process is often manual, siloed, and slow - costing teams time, confidence, and value.

Teams spend weeks iterating through options, only to run out of time before the best opportunities are fully explored. Conflicting opinions can cloud judgment, leaving leaders uncertain and value left on the table.

Solution

3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.
3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.

AI-assisted Maturation (AIM) brings clarity to this complexity. Instead of manually designing options, AIM explores the full space of well trajectories across all slot–target combinations, automatically accounting for drilling and subsurface constraints, including industry-standard anti-collision checks. Within a single hour - something that previously took weeks.


This gives teams back their most valuable asset: time. Time to weigh cost, risk, and value trade-offs. Time to make faster, more confident decisions. AIM doesn’t replace expertise - it elevates it. Powered by AI, shaped by humans, it helps teams move from complexity to clarity.


With AIM, decisions that once took weeks can now be made in days. Teams collaborate on facts, not assumptions. Options are explored more fully, choices are made more confidently, and millions in value are safeguarded from being left on the table.

Results

10x faster workflows

Freeing teams to focus on decisions, not designing.

3 months earlier first oil

Securing earlier returns.

3–5% shorter wells

Directly reducing costs and risk.

Results

10x faster workflows

Freeing teams to focus on decisions, not designing.

3 months earlier first oil

Securing earlier returns.

3–5% shorter wells

Directly reducing costs and risk.

Results

10x faster workflows

Freeing teams to focus on decisions, not designing.

3 months earlier first oil

Securing earlier returns.

3–5% shorter wells

Directly reducing costs and risk.

Reidar Steinsland

Operations Geologist Equinor

"AI assistance resulted in more than 10x acceleration of the well screening process. AIM further demonstrated that several slots are good candidates for multiple subsurface targets, providing the opportunity to optimize"

Reidar Steinsland

Operations Geologist Equinor

"AI assistance resulted in more than 10x acceleration of the well screening process. AIM further demonstrated that several slots are good candidates for multiple subsurface targets, providing the opportunity to optimize"

Reidar Steinsland

Operations Geologist Equinor

"AI assistance resulted in more than 10x acceleration of the well screening process. AIM further demonstrated that several slots are good candidates for multiple subsurface targets, providing the opportunity to optimize"

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Want to learn more about this solution? Get in touch and ask for a demo.

Contact us

Want to learn more about this solution? Get in touch and ask for a demo.

Contact us

Want to learn more about this solution? Get in touch and ask for a demo.

Contact us

Want to learn more about this solution? Get in touch and ask for a demo.

Contact us