Schlumberger Technology Corporation

Systems and methods employing sensors, data processing, and control algorithms to automate and optimize drilling, fracturing, and fluid production processes in real-time.

Methods and apparatus for generating, storing, and distributing electrical power within a wellbore, or for powering downhole tools and systems from the surface.

Deployment and operation of specialized sensors within wellbores to monitor formation properties, fluid flow, and well integrity, often using acoustic, optical, or radiation-based methods, and integrating with well operations.

Design and engineering of specialized mechanical and electrical tools for drilling, coring, perforating, and manipulating equipment within the wellbore environment.

Techniques for enhancing, interpreting, and modeling subsurface data, including seismic, electromagnetic, and nuclear magnetic resonance measurements, often involving advanced signal processing, inversion, and parallel computing methods.

Specialized fluid compositions, including additives and inhibitors, used in oil and gas exploration and production for purposes like drilling, fracturing, cementing, corrosion inhibition, and formation stimulation.

Technologies and systems specifically designed for extracting thermal energy from subterranean heat sources, including magma reservoirs or low-permeability fractured formations.

Control systems designed to monitor, optimize, and manage energy generation, storage, distribution, and consumption within industrial facilities or interconnected power networks to improve efficiency and meet regulatory requirements.

Formulated liquid compositions designed for specific industrial applications, such as non-flammable cleaning, thermal management in electronics, or as low-viscosity, high-flash-point base fluids.

Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Abrasive slurry compositions used in semiconductor manufacturing for planarizing wafer surfaces, typically containing abrasive particles and chemical additives to achieve specific material removal rates and selectivity.

Technologies and systems for removing unwanted components or separating desired gases from a mixed gas stream, including adsorption, absorption, and membrane-based methods.

Systems employing various sensing modalities, including X-ray, fiber optics, ground-penetrating radar, and image analysis, for detecting threats, monitoring perimeters, and inspecting objects in security or transportation contexts.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Development of materials with tailored porosity, surface chemistry, or structure, such as metal-organic frameworks (MOFs), zeolites, or superficially porous particles, for selective adsorption, ion exchange, or chromatographic separations.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Equipment and processes for separating solid particles from liquid or gas phases in industrial settings, encompassing mechanical screening, filtration of molten materials, and various filter media designs.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Computational methods for modeling and simulating photolithography processes, including mask design, aerial image generation, and defect prediction for semiconductor manufacturing.

Use of magnetostatic or vector magnetometers and associated processing for detecting objects, mapping magnetic fields, or determining position and orientation in various applications.

Membrane and depth filtration for industrial separation, gas purification, and bioprocess clarification including cross-flow, dead-end, tangential flow filtration, and oil/water separation.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Technologies that process, analyze, and leverage geographic information system (GIS) data, location data, and spatial analytics for applications such as monitoring, navigation, and environmental assessment.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Mixtures of liquid crystal compounds and other additives, such as monomers or carbon black, designed to achieve specific optical, electrical, or physical properties for use in liquid crystal displays (LCDs) or other electro-optical devices.

Systems and methods specifically engineered for removing pollutants and impurities from water sources, ranging from groundwater decontamination to point-of-use filtration, often employing adsorption, membrane, or distillation techniques.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Technologies for securing, managing, and transacting with virtual currencies, non-fungible tokens (NFTs), and other blockchain-based digital assets, including hardware wallets and tokenization schemes for various purposes.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.