What Is an Open Data Platform in Drilling and Well Operations?

Updated 8 December 2025

Wondering how to optimize your approach to the huge amount of data and actors in drilling and well operations? Finding too many options and services for how to interact, store and transfer your project’s data?

In drilling and well operations, the volume of data, systems and stakeholders continues to grow. With dozens of applications, vendors and workflows involved across the well lifecycle, operators increasingly struggle with how to store, transfer and actually use their data in an efficient and scalable way.

This article explains what an open data platform is, why it matters, and how it supports digitalization across the drilling and wells domain.

What Is an Open Data Platform?

Today’s software ecosystem includes countless data structures, transfer protocols and encryption schemes. In oil and gas, many of these are bespoke, built for specific tools or workflows, and rarely compatible with each other. APIs exist, but not all are open or standardized.

An open data platform refers to a system designed so that data can be accessed, transferred and used through non-proprietary, standardized interfaces.

In simple terms, an open data platform allows you to:

• Use your data freely, beyond the vendor’s main application

• Move data in and out without restrictions or lock-in

• Integrate with other tools, analytics or cloud services

• Retain ownership and control over how and where data is used

Importantly, “open” does not mean unsecured or publicly accessible. Security exists at a different layer: identity management, access control, authentication and encryption.

Open simply means your data is not trapped, making it far more useful across operations and disciplines.

Additional reading: Breaking down silos: From SharePoint to integrated software platforms

Why It Matters for Drilling and Wells

Drilling and well operations are unusually complex, involving a wide range of disciplines:

• Well engineering

• Geoscience and seismic interpretation

• Risk and regulatory compliance

• Logistics

• Vendor operations and service companies

• Real-time data centers

• Reporting and analytics

Traditionally, data has flowed manually across silos — files, screenshots, exports, emails, and re-entry into different applications. This slows the entire operation and introduces risk.

With closed platforms, data becomes locked to a specific system or vendor. For example:

• Wireline logs may be accessible only inside the wireline software

• Operational data cannot easily be shared with logistics or budgeting

• Analytics tools cannot pull data without custom integrations

This reduces flexibility, creates vendor dependency, and makes collaboration unnecessarily difficult.

With an open platform, data can serve multiple purposes across multiple workflows — without friction.

Openness Is the Way Forward

Closed platforms create scalability and sustainability challenges:

• Integrations become expensive and slow

• Backwards compatibility suffers

• Moving to new systems becomes difficult

• Cross-disciplinary workflows break down

A simple analogy:
Imagine an office building where every document must be physically trimmed to fit proprietary filing cabinets. Once stored, only the vendor’s own tools can access them. If you move to a new building, you must remodel every cabinet or pay someone to “unlock” your own files.

That’s the burden of a closed data platform.

An open platform gives you the ability to choose, and change, your own filing cabinets, locks and access rules. It strengthens data ownership while increasing operational flexibility.

Read more: Challenges (and rewards) of embracing a Digital Collaboration Platform

Security and Accessibility

Open APIs and industry standards, such as REST APIs and WITSML, enable secure, structured communication between systems while preserving data integrity.

Open does not mean unprotected. Robust platforms still include:

• Advanced encryption

• Multi-factor authentication

• Role-based access control

• Complete audit trails

With this foundation, organizations can give targeted access to specific datasets, integrate advanced analytics (PowerBI, cloud AI, etc.), and unlock much richer data-driven workflows.

Conclusion

An open data platform uses non-proprietary methods to store, access and transfer data, giving operators far more flexibility in how that data is used across drilling and well operations.

It supports:

• Scalability

• Backwards compatibility

• Future technology adoption

• Cross-domain collaboration

• Data ownership and security

As digitalization accelerates, choosing an open platform is increasingly a strategic decision, one that determines how effectively your organization can scale, innovate and collaborate in the years ahead.