Well Planning & Design
Trajectory, casing and wellbore architecture workflows in a structured design environment where project context is retained throughout.
ATLAS — a platform by Atlas WellTech
Engineering Intelligence for Better Wells.
ATLAS brings well planning, drilling engineering analysis, optimisation, governed engineering data and operational intelligence into a single integrated environment — built so engineering work stays connected, evidenced and reviewable.
Atlas WellTech is the engineering technology brand. ATLAS is the platform.
Drilling engineering work is fragmented across too many places.
Engineering knowledge sits in spreadsheets, specialist applications, vendor documents, reports, historical wells, company procedures and individual working habits. Context is lost between steps, and reconstructing that context consumes engineering time that should be spent on the well.
- Spreadsheets
- Specialist applications
- Vendor / manufacturer information
- Engineering reports
- Historical well data
- Company procedures
- Individual engineering workflows
- Operational information
Integrated environment
One governed engineering context
ATLAS is designed so engineering inputs, analysis, assumptions and evidence sit in the same place, with their origin intact.
ATLAS is designed to bring engineering information and workflows into one governed environment. ATLAS supports engineering judgement — it does not replace the engineer.
One integrated engineering environment.
Rather than a collection of disconnected tools, ATLAS is structured as a continuous engineering workflow supported by a governed engineering intelligence layer.
- 01
Plan
Establish the well objective, constraints and design basis.
- 02
Engineer
Build the design with engineering methods, not disconnected files.
- 03
Analyze
Test the design against loads, hydraulics and mechanical behaviour.
- 04
Optimize
Compare engineering scenarios before commitments are made.
- 05
Execute
Carry the engineering intent into the operation with context intact.
- 06
Learn
Capture outcomes as evidence the next well can start from.
Governed engineering intelligence layer
Every stage draws on the same governed engineering information — so analysis, review and reporting refer to the same inputs, versions and assumptions.
Six engineering capability families.
Capability families describe how engineering work is organised in ATLAS. Depth, configuration and rollout are discussed as part of an engagement.
Drilling Engineering & Analysis
Torque and drag, mechanical loading and drillstring behaviour examined against the planned well and its stated design assumptions.
Hydraulics, Mechanics & Optimization
Hydraulics, hole cleaning and mechanical optimisation studies used to compare engineering scenarios before decisions are committed.
Engineering Data & Repository
Governed engineering information — components, catalogues and project inputs — organised with their sources and versions attached.
Operational Intelligence
Operational context and historical information surfaced alongside engineering work so planning and review are better informed.
Reporting, Assurance & Traceability
Engineering outputs, assumptions and reviews captured as structured, reportable and auditable records.
Engineering in context
Design decisions kept next to the analysis that supports them.
A well design is only as good as the reasoning behind it. In ATLAS the trajectory, casing architecture and target geometry are engineered in the same environment as the analysis used to test them, so the design basis stays visible instead of being reassembled later.
- Design intent, constraints and assumptions recorded with the well.
- Analysis carried out against the current design, not a stale copy.
- Engineering review able to see what changed and why.
Engineering that can be reviewed, evidenced and defended.
Assurance is a first-class part of the platform: information carries its source, changes carry their version, and decisions carry their reasoning.
- 01
Source
Where the value originates
- 02
Evidence
What supports it
- 03
Version
Which revision applies
- 04
Decision
What the engineer concluded
Lineage is retained so a reviewer can reconstruct how an engineering conclusion was reached.
- 01
Engineering output
Calculated, documented result
- 02
Review
Examined by a competent engineer
- 03
Approval
Accepted under company process
- 04
Auditable record
Retained, versioned, retrievable
Engineering intelligence
Engineering intelligence with human authority.
Engineering models, governed information, operational context and historical results can be combined to support faster and better-informed engineering decisions. What ATLAS does not do is decide. The engineer remains the decision-maker, and verification remains an explicit engineering step.
- Engineering models — physics and design methods applied to the project at hand.
- Governed information — inputs with known sources, versions and status.
- Operational context — what is actually happening on the well and the programme.
- Historical learning — what previous wells and reviews already demonstrated.
- Suggests
- Surfaces relevant engineering context and comparisons.
- Records
- Captures inputs, assumptions and reasoning as evidence.
- Never assumes
- Verification is not implied by the platform.
- Never decides
- Engineering authority stays with the engineer.
Built for how drilling organisations actually work.
ATLAS is designed for organisational use — multiple projects, multiple teams, and controlled access to engineering information across an operating structure.
- Organisational workspaces
- Controlled organisational workspaces for teams, assets and operating companies.
- Role-based access
- Engineering information is exposed according to responsibility.
- Controlled repositories
- Engineering references are managed, not circulated as attachments.
- Auditability
- Activity on engineering information is recorded and reviewable.
- Governed approvals
- Review and approval follow the organisation's own process.
- Multi-project operations
- Concurrent wells and campaigns handled in one environment.
A continuous loop, not a one-way handover.
Every well should make the next well better. ATLAS is structured around a closed engineering loop where captured outcomes feed back into planning.
The engineering workflow describes how a single well is engineered. This loop describes something different: how an organisation improves between wells. Outcomes captured during execution are reviewed and fed back into planning, so the next well starts from what the last one demonstrated.
Capture
Outcomes recorded as engineering evidence, not anecdote.
Learn
Reviews turn outcomes into stated engineering findings.
Improve
Findings inform the next design basis.
Plan
The cycle restarts with more context than before.
The team behind ATLAS.
Atlas WellTech is the engineering technology brand behind ATLAS. Our approach combines drilling engineering thinking with modern software architecture, engineering governance, data intelligence and operational learning.
How the four come together
Engineering thinking
Built around drilling engineering workflows and the way engineers reason.
Governance
Traceability and control designed in, not added afterwards.
Modern technology
A current software foundation designed for organisational use.
Operational learning
Outcomes captured so engineering knowledge compounds.
Atlas
Enterprise engagementSee what ATLAS can do for your drilling organisation.
Engagements are arranged directly with Atlas WellTech. Tell us about your organisation and we will arrange a demonstration or a commercial proposal.