Free to read. Sign up to save your progress and take knowledge-check quizzes.

Sign up free
5 min read·Updated July 2, 2026

Halliburton DecisionSpace 365

Halliburton logoBy Halliburton

DecisionSpace 365 is Halliburton's cloud subsurface-and-drilling suite — applying AI to seismic interpretation, reservoir modeling, and well construction, and extending toward autonomous drilling via LOGIX.

Listen to this lesson

Free preview · first 0:30
0:00 / 0:30

Audio & video lessons are paid features

Plus unlocks audio streaming. Pro adds downloadable audio, video, certificates, and more.

Plus adds:
  • Audio streaming
  • Downloadable PDFs
  • All AI Playbooks
  • Personalized content
Pro also adds:
  • Certificates of completion
  • Audio MP3 downloads
  • Video lessonssoon
  • & More…soon

Watch this lesson

AI Pro Playbook video — coming soon

Learning Objectives

  • Understand what DecisionSpace 365 does across subsurface and drilling
  • Understand Halliburton's position among the oilfield-services majors
  • Evaluate AI-assisted well design and drilling automation

What Is Halliburton DecisionSpace 365?

DecisionSpace 365 is the cloud software suite from Halliburton, one of the world's three largest oilfield-services companies. It applies AI and cloud computing to the technical heart of upstream oil and gas: subsurface interpretation (understanding the rock and fluids underground), reservoir modeling (predicting how a reservoir will produce), and well construction (designing and drilling the well). Delivered as subscription software on Microsoft Azure through Halliburton's iEnergy platform, it aims to help operators design wells faster, model reservoirs more accurately, and automate parts of the drilling process — with its LOGIX offering pushing toward autonomous drilling, where the system adjusts drilling parameters in real time with less human intervention.

Halliburton competes directly with SLB (Delfi) and Baker Hughes in the race to be the digital backbone of oil and gas, and DecisionSpace is its answer. As a genuine AI vendor selling to operators worldwide, its trajectory tracks global drilling and completion activity, with AI-enabled software an increasingly important differentiator. The honest framing is the same as across the sector: these tools compress and automate expert engineering work — faster well designs, more accurate models, more automated drilling — but engineers remain accountable for the wells, and results depend on data quality and skilled use.

💡Key Concept

Autonomous drilling: Traditional drilling relies on engineers continuously adjusting parameters (weight, speed, mud). LOGIX pushes toward a system that makes many of those adjustments automatically in real time, improving consistency and reducing risk — with human oversight.

Tip

Visit Halliburton iEnergy: halliburton.com/en/software — enterprise platform for operators; Halliburton trades on the NYSE as HAL.

Pricing

DecisionSpace 365 is Azure-based subscription software sold to operators; pricing is by subscription and cloud consumption rather than published rates.

DecisionSpace 365Custom quote
  • Cloud subsurface and reservoir tools
  • Well construction workflows
  • Azure subscription
iEnergy + LOGIXCustom quote
  • Enterprise platform
  • Autonomous-drilling capabilities
  • Integration and support

Core Features

Subsurface Interpretation

Applies AI and cloud compute to interpret the subsurface — the geology and fluids that determine where and how to drill.

Reservoir Modeling

Builds and runs reservoir models to predict production, including newer ensemble-modeling approaches for handling uncertainty.

Well Construction

Supports designing and drilling wells more quickly and consistently, from planning through execution.

Autonomous Drilling (LOGIX)

Pushes toward automated, real-time drilling adjustments, aiming for more consistent, lower-risk operations with human oversight.

Strengths

  • Big-three platform — a direct competitor to SLB Delfi and Baker Hughes
  • Full subsurface-to-drilling scope — interpretation, modeling, and construction
  • Cloud-native — Azure-based subscription delivery
  • Drilling automation — LOGIX toward autonomous drilling
  • Genuine AI vendor — sold to operators, not internal-only

Limitations and Considerations

  • Engineers stay accountable — automation assists, it does not replace judgment
  • Data-quality dependence — models are only as good as their inputs
  • Enterprise commitment — a significant platform adoption
  • Tracks drilling activity — value follows global drilling and completion spend
  • Competitive field — chosen against SLB and Baker Hughes

Best Use Cases

Use CaseWhy DecisionSpace 365 FitsCaveat
Cloud subsurface interpretationAI-accelerated interpretation on AzureInterpreter validates results
Reservoir modelingEnsemble modeling for uncertaintyDepends on data quality
Faster well designAutomates parts of well constructionEngineers own the design
Drilling automationLOGIX toward autonomous drillingHuman oversight required

Key Takeaways

  • DecisionSpace 365 is Halliburton's cloud suite applying AI to subsurface interpretation, reservoir modeling, and well construction
  • Its LOGIX offering extends toward autonomous drilling, adjusting parameters in real time with human oversight
  • It is Halliburton's answer to SLB Delfi and Baker Hughes in the race to be the digital backbone of oil and gas
  • As a genuine AI vendor, its trajectory tracks global drilling and completion activity
  • The tools automate and accelerate expert engineering work, but engineers remain accountable and results depend on data quality

Save your progress & take the quiz

Sign up free to bookmark lessons, track which modules you've completed, and lock in what you learned with a quick knowledge-check quiz at the end of each lesson.

🧭Recommended for you