Oil and Gas | Tech Mahindra

Navigating Industry Fluctuations

The oil and gas industry has always felt immense fluctuations, whether from oil prices themselves or from extremes in both supply and demand. With these ongoing concerns, the industry is also under constant pressure to reduce operating expenses. These forces give leading oil and gas companies the incentive to harness the power of AI to radically change business practices, operating models, and investment strategies.

Industry Gaps

Upstream

It’s difficult for the upstream sector to collate the vast volume (e.g., seismic 2D lines and 3D volumes), variety (e.g., petrophysical data), and high frequency of data (e.g., real-time drilling data). In particular, generating presentable and more intuitive formats with minimum lag time can be challenging. AI can aid in digitizing Petro technical data (maps, well logs, and various reports) lying in physical form throughout warehouses or in disparate storage drives, resulting in greater data visibility, faster categorization, and usage of the said data. Present approaches to drilling and production operations to make critical decisions are reactive, often leading to more Non Productive Time (NPT) in drilling and an increase in production deferment. AI can help to break the operational silos and can foster a more predictive and reliable decision-making process.

Midstream and Downstream

Today, contingencies in the refinery planning process do not take historical market data, events, and predictive models of plant condition into account, leading to a massive gap between planned and actual GRM. Excel-based manual monitoring does not predict system performance degradation from high energy costs due to fouling. Additionally, traditional pricing mechanisms hinder revenue optimization, which needs more consumer-centric data.

Service Offerings

Our AI service offerings include:

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Exploration and Production
  • Drilling performance optimization – multivariate, multidimensional, stochastic analytics
  • NPT Reduction: ROP Optimization using well-to-well correlations
  • Well Advisor based on NLP
  • Well Cost Optimizer
  • Digitization of well log and regenerating missing log curves
  • Predicting the ‘Time to Failure’ of the progressive cavity pump
  • Managing well integrity – tubing failure prediction and corrosion inhibitor optimization
  • Early warning system for hurricane and evacuation of offshore crew
  • Drones for offshore platform inspection
  • Indexing seismic data files and seismic section images to improve searchability
Manufacturing
Manufacturing
  • Neural networks and Monte Carlo simulation to move refinery planning from deterministic GRM to probabilistic GRM
  • Maximum Possible Production – Refinery and Petrochemical Heat Exchanger Fouling Prediction – Example Crude Preheater
  • Defining the operating envelope of cracked gas compressor / centrifugal compressor failure prediction - cracked gas compressor for ethylene plant
  • Crude Assay Prediction using AI
  • Ethylene furnace yield optimization
  • Desalter efficiency improvement
  • Image and video analytics for unsafe acts and practices
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Retail and Marketing for B2B/B2C
  • Retail marketing analytic
  • Retail planning and demand management
  • Retail dynamic pricing
  • Churn analysis
  • Affinity analysis
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Lubes
  • Lubricant traceability and product authentication
  • Additives optimization AI tool
  • AI-enabled lubes scheduling
  • Lubricant business model disruption from product sale to services
  • AI-enabled social media analytics

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