Situational Intelligence Suite for Oil and Gas

Situational Intelligence Suite for Oil & Gas

As with many capital and data intensive organizations, Oil & Gas companies are faced with daily critical infrastructure challenges. Even the most successful companies face daunting hurdles in the federation and real-time correlation of the data and functionality from multiple in-house and external data sources and applications. These challenges are further complicated with the need to drive operations in increasingly remote and  hostile locations and an aging workforce.

The Role of Situational Intelligence

Pulling together data from real-time events, business rules and KPIs to produce context, condition, and location-based analytics for educated decision making, timely communications and fast action, has previously been an expensive proposition with long implementation times. Situational intelligence is a new approach to handling this complexity, seamlessly integrating high volumes of data from different source into intuitive visual displays that operators and managers can use to make fast informed decisions.

Three Comprehensive Solutionssituational intelligence for oil & gas

Space-Time Insight’s Situational Intelligence Suite for Oil & Gas consists of three comprehensive solutions that use geospatial and visual analytics software to enable pipeline integrity monitoring, crisis mitigation, hydro carbon supply chain management, risk monitoring, situational awareness, and condition-based maintenance.

Through real-time, on-demand operations, asset, and service intelligence, oil and gas companies can increase field productivity, reduce operational and business risk, decrease operating costs, and increase average production rates.  Real-time informed decisions drive timely resolution of operations challenges resulting from events that impact demand and supply critical infrastructure. 

Each solution consists of one or more composite applications that combine interfaces to appropriate data sources with business rules, processes and intuitive displays. Each composite includes the ability for operators to visualize information, analyze and correlate it, and take action on situations that need attention. These include enabling the detection and analysis of, and actions to correct, underperforming assets, leaks, spills, faulty valves, service supply chain inefficiencies and other factors that lead to downtime, damage, delays, risks, and costs at the moment they occur.

The three solutions are:

  • Asset Intelligence and Leak Monitoring

Geospatially displays asset condition and asset performance correlated with external factors such as severe weather and other extreme events, maintenance history and schedule, and inventory and parts accessibility. This helps production and field supervisors and engineers understand and manage the impact of each factor on downtime and production time. The solution also provides leak survey geospatial visualization with links to compliance and remediation procedures all in one operational dashboard.

  • Service Intelligence

Addresses fragmented, inconsistent, and sub-optimized service management across the field service supply chain, reducing opex, operational and business risk, and increasing the ability to deliver required service levels. Integrates with existing Work Order Management systems, enhancing investments in ERP and Dispatch Management Systems. It also links to Outage Response Systems, improving workforce and asset mobilization across the entire supply chain. 

  • Inventory Intelligence

Improves optimization and decision making by providing real-time insights into changes in supply and demand across critical infrastructure. The solution provides improved visualization of all inventory, single point aggregation of inventory information, aggregation of data to support analytics across time, locations, commitment level, and responsible organizationm, and the ability to understand constraints through cross-sectional views of information

Space-Time Insight Clients
Space-Time Insight Clients

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