Google Cloud for oil and gas
Drive innovation across the value chain and strategically prepare for the future with Google’s advanced analytics and groundbreaking AI and geospatial solutions. From accelerating upstream exploration to optimizing retail forecasting, we help your business build a secure, scalable foundation for a stable, sustainable, and profitable future.
Transform your oil and gas value chain to drive business growth
Customer feature: With Google Cloud, PGS has built one of the most powerful high-performance compute solutions in the world to provide detailed, high-quality marine geophysical intelligence from seismic data.
Accelerate upstream planning with high-performance computing (HPC) and Google Earth Engine to enhance reservoir optimization and field development planning. Oil and gas companies can analyze decades of seismic and well data for new insights, and build AI surrogate models to rapidly simulate complex reservoir behavior. These capabilities, powered by robust data warehousing with BigQuery and AI model development with Vertex AI , result in improved capital allocation and the acceleration of exploration cycles, all while improving the management of environmental risk.
BigQuery and Vertex AI provide predictive intelligence for oil and gas companies to optimize midstream operations. Using BigQuery to integrate real-time sensor data from pumps and meters, companies can accurately forecast network demand, predict potential equipment failures on pipelines, and maximize throughput revenue while reducing inventory costs.
Maximize downstream retail with Vertex AI and BigQuery ML by forecasting hyper-local fuel and convenience store demand, analyzing traffic and demographics for optimal new station site selection, and determining dynamic price changes, reducing new-site risk, and enhancing daily fuel margins.
Go deeper into solutions for oil and gas:
Go deeper into solutions for oil and gas:
Customer feature: With Google Cloud, PGS has built one of the most powerful high-performance compute solutions in the world to provide detailed, high-quality marine geophysical intelligence from seismic data.
Accelerate upstream planning with high-performance computing (HPC) and Google Earth Engine to enhance reservoir optimization and field development planning. Oil and gas companies can analyze decades of seismic and well data for new insights, and build AI surrogate models to rapidly simulate complex reservoir behavior. These capabilities, powered by robust data warehousing with BigQuery and AI model development with Vertex AI , result in improved capital allocation and the acceleration of exploration cycles, all while improving the management of environmental risk.
BigQuery and Vertex AI provide predictive intelligence for oil and gas companies to optimize midstream operations. Using BigQuery to integrate real-time sensor data from pumps and meters, companies can accurately forecast network demand, predict potential equipment failures on pipelines, and maximize throughput revenue while reducing inventory costs.
Maximize downstream retail with Vertex AI and BigQuery ML by forecasting hyper-local fuel and convenience store demand, analyzing traffic and demographics for optimal new station site selection, and determining dynamic price changes, reducing new-site risk, and enhancing daily fuel margins.
Go deeper into solutions for oil and gas:
Go deeper into solutions for oil and gas:
Customer feature: PTTEP has executed complete application modernization in under one year, created an integrated API Hub, and achieved seamless database compatibility across business functions with Apigee API management.
Oil and gas companies leverage WeatherNext's predictive AI and hyperlocal forecasting to optimize maintenance and anticipate weather impacts. Predictive maintenance models built with Vertex AI and deployed via Google Distributed Cloud to remote assets increases resilience, lowering costs, and reducing equipment failures.
Proactively monitor methane emissions and optimize assets with Google Earth Engine , Google Maps , and Dataplex Universal Catalog . Unify data for a single source of truth, leading to faster incident response, optimized crew routes, and reduced OpEx.
BigQuery ML enhances algorithmic trading with near real-time insights to predict market volatility and optimize asset scheduling. Executing high-frequency trading strategies improves trading profitability and increases asset utilization.
With Manufacturing Data Engine , BigQuery and Vertex AI oil and gas companies maximize refinery yield and profitability by seamlessly connecting OT and IT data. Consolidating real-time process data allows for modeling and optimizing process parameters to increase high-value product yield. This improves process visibility, lowers energy costs, and significantly increases gross refining margins.
Go deeper into solutions for oil and gas:
Go deeper into solutions for oil and gas:
Customer feature: SAP fuels innovation by transforming data into solutions with Google Cloud AI-powered analytics.
Google Cloud helps oil and gas companies modernize their data infrastructure for secure, scalable AI—whether on-prem or in the cloud. Our customers unify data foundations with BigQuery , SAP on Google Cloud , and Cortex Framework to integrate siloed financial and operational sensor data. This breaks down the walls between ERP and field data, accelerating time-to-insight and helps automate complex emissions reporting for regulatory compliance, shortens exploration cycles, and minimizes business disruptions.
Oil and gas companies strengthen IT/OT cybersecurity with Google Cloud's unified platform. Mandiant Cybersecurity Consulting , Google Cloud Cybershield™ and Security Command Center work to detect and contain threats, ensuring rapid recovery, minimizing disruptions, and reducing time taken to address breaches.
Gemini Enterprise and Vertex Vision AI enable a proactive safety culture, reducing workplace injuries by generating risk scores and automating safety audits. Field crews can use NotebookLM to query safety manuals instantly in natural language, increasing operational efficiency and compliance.
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Gulf Edge and Google Cloud Partner to Deliver AI-Enabled Sovereign Cloud for Thailand.
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Google Cloud AI is uniquely positioned to support oil and gas organizations
Expertise in geospatial for situational awareness for energy infrastructure
Advanced geospatial solutions like Google Earth Engine and Google Maps StreetView provide the foundational capabilities for geospatial analysis and optimization, providing oil and gas companies better situational awareness for energy infrastructure.
Learn more about Google Earth Engine →
Learn more about Google Earth Engine in BigQuery →
Learn more about Google Maps Platform →
Google-quality search grounded in your enterprise data
Harness Google's decades of expertise in search to transform your operations and improve the customer experience.
Infuse Google-quality search, grounded in your enterprise data, to help employees, from office staff to field crews, quickly locate the exact data they need—whether it's in operational documents, asset images, or geospatial system information—to streamline workflows and make better-informed decisions.
Learn more about Vertex AI Search →
Learn more about Knowledge Graph →
Demonstrated leadership in research
Google is recognized globally as a leader in research, pioneering breakthroughs in AI, quantum computing, and autonomous systems. Through key divisions such as Google Research and Google DeepMind, we consistently translate significant scientific innovation into tangible, real-world solutions.
Learn more about Google Research →
Learn more about Google Deepmind →
Security and sovereignty trusted by oil and gas companies for their IT and OT systems
Strengthen cybersecurity and safeguard against threats and attacks with Mandiant Cybersecurity Consulting. Leverage comprehensive incident response and remediation, which reduces the time taken to address breaches and ensures thorough remediation by hardening critical OT infrastructure.
For oil and gas companies that are required to operate fully disconnected, we offer air-gapped solutions that integrate Google's AI capabilities.
Learn more about Mandiant Cybersecurity Consulting →
Learn more Google Distributed Cloud air-gapped →
Innovate with flexibility on a cloud that supports your choice with open source and multicloud capabilities
Google Cloud has a longstanding commitment to open-source and multicloud approaches, viewing customer choice as crucial for innovation.
Build yourself or leverage Google Cloud managed services for open-source solutions like Google Kubernetes Engine and platforms like Anthos that allow apps to run consistently across public clouds, private data centers, and even other clouds. It's your choice.
Learn more about Google Cloud multi cloud solutions →
Learn more about Google Kubernetes Engine →
Accelerate your AI journey on Google Cloud's unified and secure AI platform
Google Cloud’s secure and integrated platform is built for oil and gas industry compliance, providing governance and choice, while protecting enterprise and customer data.
Build, deploy and scale your AI solutions with Gemini Enterprise and Google Cloud's flexible, end-to-end platform, Vertex AI. Work with any model, connect to any data, and accelerate innovation without limitation or lock in.
Learn more Google AI →
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Video (1:47)
Protect your sensitive data and meet rigorous regulatory requirements with Google Cloud's secure-by-design infrastructure, zero-trust architecture, advanced threat intelligence, and comprehensive compliance certifications. We provide robust controls for data privacy, residency, and sovereignty, enabling you to innovate with confidence.
Google Cloud provides a robust, multilayered security model with a secure-by-default, zero-trust architecture to protect sensitive operational data and critical applications. Its intelligence-driven defense strategy leverages advanced security features, AI, and automation to continuously detect and respond to threats. The platform includes compliance certifications for global standards, helping oil and gas companies meet requirements through secure infrastructure, encryption, and comprehensive auditing tools. Under a shared responsibility model, customers maintain control over their data while Google secures the underlying platform, enabling a migration from vulnerable legacy systems to a highly secured, modern infrastructure.
Yes, Google Cloud is committed to adhering to numerous industry and government regulations, such as environmental (EPA, MARPOL), safety (OSHA), and operational regulations (API, ISO 29001) to manage risks, emissions, and waste. We provide extensive compliance resources to help our customers meet their specific obligations. Google Distributed Cloud solutions can also help keep certain workloads on-premises or at the edge to meet data residency and operational requirements for critical national infrastructure (CNI), while still leveraging cloud services.
Google Cloud's global private network is engineered for fast and reliable connectivity, but for the most remote and demanding operational environments, we offer solutions designed to function entirely offline. These highly specialized systems are built for air-gapped operations, meaning they do not require external network connectivity to run critical workloads. This ensures business continuity and high survivability, allowing cloud applications to function reliably even in locations with poor or non-existent network access.
Compliance with international data sovereignty laws is a key focus, and Google Cloud offers flexible sovereign cloud solutions. We provide customers with clear control over where their data is stored and processed, enabling them to meet specific local regulatory requirements. This includes features that allow customers to set data boundaries and manage their own encryption keys, ensuring they maintain control over their content even when operating across multiple global regions.
Absolutely. We support hybrid connectivity through Cloud VPN and Cloud Interconnect, providing secure, high-bandwidth links. Our Anthos solution ensures consistent policy enforcement across diverse environments, while tools like Cloud Data Fusion bridge data silos between disparate systems, including Databricks, SAP, Oracle, and other cloud platforms.
Google Cloud provides a robust platform and clear pathway for modernizing infrastructure by moving away from vulnerable, decades-old systems. The goal is to establish a secure and scalable foundation that allows for continuous innovation and operational agility. By integrating legacy systems into the modern cloud platform, organizations can protect critical assets from contemporary security threats while enabling the use of modern tools and DevOps practices to improve efficiency.
Yes, business continuity and disaster recovery are built directly into Google Cloud's globally resilient infrastructure. Data can be protected through geo-redundancy, where it is automatically backed up and replicated across multiple distant regions or continents. This ensures that in the event of a natural disaster or a critical system failure in one location, operations can quickly failover to a different region, guaranteeing minimal downtime and the survivability of critical business systems.
No. We recommend starting with a single, high-impact business problem to deliver measurable wins quickly. This allows you to prove technology value and build momentum for broader transformation at a pace that suits your business.
Yes, Google Cloud supports robust multi-cloud strategies through our commitment to openness and interoperable technologies. We provide consistent platforms like Google Kubernetes Engine (GKE) for managing applications across environments, and our Google Distributed Cloud solutions extend our infrastructure where you need it, ensuring you can leverage the best of all clouds without being locked in.
Yes, we offer comprehensive support, training, and professional services to help organizations upskill their teams. We provide detailed documentation, training courses, and a network of partners and system integrators that specialize in designing, implementing, and managing cloud-based solutions tailored to specific energy industry needs. This ensures a smoother migration process and helps internal teams build the necessary competencies in network management, data analytics, and security.