Woodside Energy
Mia Yellagonga 11 Mount Street,
Perth, 6000, WA,
Australia
Perth, 6000, WA,
Australia
61 8 9348-4000
Oil, Gas and Chemicals
Woodside Energy Technographics
Woodside Energy Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Woodside Energy and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4718 Woodside Energy employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Woodside Energy has purchased the following applications: SAP S/4 HANA for ERP Financial in 2022, Amazon SageMaker for ML and Data Science Platforms in 2019, IBM Watson Assistant for Chatbots and Conversational AI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Woodside Energy is running and its propensity to invest more and deepen its relationship with SAP , Visa , Amazon Web Services (AWS) or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Woodside Energy revenues, which have grown to $8.58 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Woodside Energy intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Woodside Energy Tech Stack and Enterprise Applications
Woodside Energy ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP | Deloitte Central Europe | 2022 | 2024 |
In 2022, Woodside Energy commenced implementation of SAP S/4 HANA as its ERP Financial platform following the merger of the Woodside and BHP Petroleum businesses. The SAP S/4 HANA ERP Financial deployment was started as a program-level initiative and has been successfully operational since January 2024, establishing a consolidated financial backbone for the combined Woodside Energy Group.
The implementation focused on core ERP Financial capabilities including general ledger, accounts payable, accounts receivable, fixed asset accounting, intercompany accounting and consolidated statutory reporting, with configuration work to support automated financial close workflows and transaction orchestration within SAP S/4 HANA. Design and configuration emphasized standardized chart of accounts, centralized financial master data management and controls aligned to corporate reporting requirements.
Deloitte Central Europe served as the system integrator for the SAP S/4 HANA program, executing technical deployment tasks and cutover activities. Parallel workstreams include a planned integration with Icertis as a Contract Lifecycle Management System, with Icertis due to be operational in 2025, and supplier-facing changes communicated to external vendors to manage procure-to-pay and contract lifecycle touchpoints.
Program governance included supplier communications, controlled ways of working adjustments and a global synergy objective to minimize disruption to ongoing engagements. Operational rollouts targeted finance and procurement process alignment across the Woodside Energy Group, with structured change communications to suppliers and internal stakeholders while stabilization continued after the January 2024 go live.
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Expense Management | ERP |
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2014 | 2014 |
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Woodside Energy AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2019 | 2019 |
In 2019, Woodside Energy implemented Amazon SageMaker as part of a robotics machine learning initiative using ML and Data Science Platforms to accelerate reinforcement learning workflows for robotic manipulation. The engagement targeted the orchestration and scaling of training, simulation, tuning, and deployment workflows for RL agents used in repetitive or hazardous manipulation tasks.
The implementation centered on Amazon SageMaker Reinforcement Learning components and SageMaker Kubeflow operators, which were developed as Kubernetes components to run as steps in Kubeflow pipelines. Functional capabilities implemented include parallelized SageMaker training jobs, orchestrated AWS RoboMaker simulation jobs, and pipeline definitions authored with the Kubeflow Pipelines SDK, enabling data scientists to invoke and monitor SageMaker training and RoboMaker simulation steps without managing underlying execution details.
Integrations explicitly deployed include AWS RoboMaker for robot simulation, Gazebo for physics and environment simulation, ROS for robot application structure, Anyscale’s Ray for distributed RL training, Amazon Simple Storage Service for model artifact persistence, and Amazon SageMaker inference nodes for production deployment. The workflow collects experience from Gazebo simulations orchestrated in AWS RoboMaker, uses Ray to drive distributed training on Amazon SageMaker, stores trained RL agent models to Amazon S3, and provisions SageMaker inference nodes which can be downloaded to robots using the same ROS structure from simulation to edge deployment.
Max Kelsen collaborated with Woodside Energy and AWS to develop and open-source the RoboMaker and RLEstimator components, creating a repeatable framework that allows the robotics and data science teams to iterate and deploy at scale. Governance and process changes centered on shifting orchestration responsibilities into Kubeflow pipelines, enabling clearer separation of concerns between pipeline engineering and algorithm development and reducing operational friction for experiments and production rollouts.
The project enabled AWS to launch Amazon SageMaker Reinforcement Learning Kubeflow Components supporting AWS RoboMaker and made the components available in the Kubeflow GitHub repository, permitting faster experimentation and management of end-to-end robotics ML workflows from perception to controls and optimization. This framework explicitly reduced the need to rebuild orchestration for each experiment by providing reusable pipeline components for training, simulation, tuning, and deployment of RL agents.
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Woodside Energy AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Watson Assistant | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
In 2017, Woodside Energy implemented IBM Watson Assistant, deploying a cloud-based Chatbots and Conversational AI solution to surface and operationalize 30 years of dense engineering and drilling knowledge. The deployment centered on a corpus of approximately 33,000 technical documents spanning testing results, project reports and decision logs, enabling companywide access to institutional knowledge across engineering, geoscience and HSE functions.
Architecturally the solution combined IBM Watson Assistant with IBM Watson Natural Language Classifier and IBM Watson Discovery APIs to parse intent, retrieve and rank relevant content, and present responses in a human tone through a custom user interface. IBM Watson Assistant was trained with advanced text analysis and machine-learning models to create a web of relationships across unstructured content, and discrete Watson instances were provisioned for domains such as Watson for Projects and Watson for Drilling to accommodate discipline-specific vocabularies and sublanguages.
Integration work leveraged the IBM Cloud portfolio and explicit APIs to ingest internal and external reports into searchable knowledge stores, and the drilling instance incorporated geospatial query workflows that allow engineers to highlight an area on a map and surface relevant prior drilling events in depth order. The drilling build took six months in collaboration with the geoscience team to tune natural language understanding for well completion reports, and the program expanded to roughly a dozen Watson instances including HSE and domain-specific deployments.
Governance and rollout combined an internal cognitive science team with IBM Watson Lab Services for architectural planning, IBM Research for content ingestion methods, and IBM Global Business Services for project management, training and user-experience design in Sydney. Woodside employees participated in supervised training of the models, using feedback mechanisms such as a thumbs-up to improve responses while scaling access across remote offshore operations. Explicit results reported by Woodside include AUD 10 million savings in employee costs, a 75 percent reduction in time the geoscience team spends reading and searching data, and a stated shift from majority time spent on data collection to majority time spent on insight generation.
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Natural Language Processing | AI-Powered Application |
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2017 | 2017 |
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Woodside Energy Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2019 | 2019 |
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Analytics and BI | Analytics and BI |
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2018 | 2018 |
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Data Warehouse | Analytics and BI |
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2016 | 2016 |
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Woodside Energy Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Woodside Energy Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Web Content Management | Content Management |
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2018 | 2018 |
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Woodside Energy SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Supply Chain Management | SCM |
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2023 | 2024 |
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Woodside Energy CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Woodside Energy EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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EPM | EPM |
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2018 | 2018 |
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Woodside Energy ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2018 | 2018 |
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Application Performance Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2017 | 2017 |
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IT Service Management | ITSM |
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2020 | 2020 |
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Woodside Energy PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Process Simulation | PLM and Engineering |
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2018 | 2018 |
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Reservoir Simulation | PLM and Engineering |
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2017 | 2017 |
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Woodside Energy PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2022 | 2022 |
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Project Portfolio Management | PPM |
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2017 | 2017 |
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Woodside Energy Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Category Management | Procurement |
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2017 | 2018 |
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Procurement | Procurement |
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2017 | 2018 |
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Procurement | Procurement |
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2022 | 2022 |
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Woodside Energy TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Treasury Management | TRM |
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2012 | 2012 |
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Woodside Energy PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management | PaaS |
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2020 | 2020 |
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API Management | PaaS |
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2016 | 2016 |
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Apps Development | PaaS |
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2018 | 2018 |
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Apps Development | PaaS |
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2020 | 2020 |
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Apps Development | PaaS |
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2019 | 2019 |
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Apps Development | PaaS |
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2020 | 2020 |
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Apps Development | PaaS |
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2023 | 2023 |
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Extract, Transform, and Load (ETL), iPaaS (Integration Platform as a Service) | PaaS |
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2018 | 2018 |
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iPaaS (Integration Platform as a Service) | PaaS |
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2016 | 2016 |
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iPaaS (Integration Platform as a Service) | PaaS |
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2015 | 2015 |
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Robotic Process Automation | PaaS |
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2019 | 2019 |
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Robotic Process Automation | PaaS |
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2019 | 2019 |
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Transactional Email | PaaS |
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2018 | 2018 |
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Woodside Energy IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Database Management | IaaS |
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2019 | 2019 |
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Database Management | IaaS |
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2020 | 2020 |
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Digital Workspace | IaaS |
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2014 | 2014 |
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Infrastructure as Code (IaC) | IaaS |
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2020 | 2020 |
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Woodside Energy CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2018 | 2018 |
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Woodside Energy Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Physical Security Outsourcing | Physical Security |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at Woodside Energy
| First Name | Last Name | Title | Function | Department | Phone | |
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CEO | CXO | Finance | |
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Head of Cognitive Science | Director | Finance | |
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Vice President People & Global Capability | VP | HR | |
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General Manager People and Global Capability | Manager | HR | |
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People & Capability (Human Resources) Manager | Manager | HR | |
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People and Capability Manager (HR business partner) | Manager | HR | |
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Chief Information Officer | CXO | IT | |
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CFO | CXO | Finance | |
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Senior Vice President Contracting & Procurement and Chief Procurement Officer | CXO | Procurement | |
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Vice President Group Financial Control | VP | Finance | |
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GM Finance Digital Transformation | Manager | IT | |
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Senior Cost Controller | Director | Finance | |
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Vice President Business Finance | VP | Finance | |
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Corporate Strategy & Planning Manager | Manager | Finance | |
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Geophysicist | CXO | Operations | |
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Geophysicist | CXO | Operations | |
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Senior Process Engineer | Non Manager | Operations | |
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Executive Vice President Exploration and Development | VP | Finance | |
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Vice President Subsea and Pipelines | VP | Operations | |
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Chief Information Officer | CXO | IT | |
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Portfolio Manager - New Energy | Manager | Investment | |
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Project Manager & Process Improvement Specialist | Manager | Finance | |
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Applications Delivery Manager | Manager | IT | |
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Chief Digital Officer | CXO | IT | |
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Head of IT Strategy and Integration | Director | IT | |
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EVP Corporate Services | VP | Finance | |
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Chief Digital Officer | CXO | IT | |
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IT Operations Manager | Manager | IT | |
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VP HSE | VP | Operations | |
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Project Manager | Manager | Operations | |
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Projects Portfolio Manager | Manager | Operations | |
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Project Delivery Manager | Manager | Operations | |
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Project Delivery Manager | Manager | Operations | |
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Apps Being Evaluated by Woodside Energy Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Woodside Energy IT executives and key decision makers. This section highlights Woodside Energy's latest recorded technology evaluations, including FIS Core Banking for Core Banking on 2026-03-30, ION Openlink Endur for ETRM on 2026-03-04, and Schlumberger GeoX Exploration Risk, Resource, and Value Assessment Software for Geology and Seismic Data Processing on 2025-12-08. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Woodside Energy digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
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| 2026-03-30 | Woodside Energy | Evaluated | FIS Global | FIS Core Banking | Core Banking | ERP Services and Operations |
| 2026-03-04 | Woodside Energy | Evaluated | ION Investment Group | ION Openlink Endur | ETRM | TRM |
| 2025-12-08 | Woodside Energy | Evaluated | Schlumberger | Schlumberger GeoX Exploration Risk, Resource, and Value Assessment Software | Geology and Seismic Data Processing | PLM and Engineering |
| 2024-06-20 | Woodside Energy | Evaluated |
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Dealership Management | ERP Services and Operations |
FAQ - APPS RUN THE WORLD Woodside Energy Technographics
Woodside Energy is a Oil, Gas and Chemicals organization based in Australia,
with around 4718 employees and annual revenues of $8.58 billion.
Woodside Energy operates a diverse technology stack with applications such as
SAP S/4 HANA, Amazon SageMaker and IBM Watson Assistant,
covering areas like ERP Financial, ML and Data Science Platforms and Chatbots and Conversational AI.
Woodside Energy has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP, Amazon Web Services (AWS) and IBM.
Woodside Energy recently adopted applications including
AWS Supply Chain in 2023, Bubble Platform in 2023 and SAP S/4 HANA in 2022,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Woodside Energy’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Woodside Energy’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Woodside Energy technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.