Managed Big Data in Oil and Gas

Big Data in Oil and Gas

Master big data to optimize the oil and gas lifecycle
Unleashing the power of data with information management and analytics (IM&A) solutions can enable oil and gas firms to use information strategically to reduce time to first oil, lower operating costs, and improve all areas of the oil and gas lifecycle.
Understanding and leveraging data in the upstream business segment enables firms to remain competitive throughout planning, exploration, delineation, and field development. The downstream segment depends on data to maximize production with regard to maintenance and forecasting. Fortunately, oil and gas companies have access to an abundance of valuable data in both upstream and downstream operations. Unfortunately, this information comes in various and increasingly complex forms, making it a challenge for energy firms to collect, interpret, and leverage the disparate data.
Baron MSP solutions can benefit oil and gas firms by:
Reducing time to first oil
Increasing the productivity of assets across their lifecycles
Applying advanced business intelligence and embedded analytics
Ensuring the right information is available to the workforce at the right time
Improving planning and forecasting results
Recognizing patterns in unstructured data
One way to accelerate decision-making is to link unstructured and structured data together to enhance pattern recognition that can improve the optimization of oil and gas operations. For example, real-time data inputs can be compared against patterns mined from a historical database through base analytics or enhanced visualization techniques. Companies are able to identify issues and root causes in massive volumes of information, then identify and implement appropriate actions that will treat the cause upon detecting the pattern, rather than waiting for a crisis to trigger action.
The challenge in exploration is to provide quick, seamless, and automated access to structured and unstructured seismic data for geophysical interpretation. This linkage enables geotechnical professionals to understand the context in which seismic surveys were conducted, and it makes supplementary information available in real time to support the decision-making process. Additional benefits are gained when well master data is integrated with unstructured information. Correlating seismic and well production data is critical to enabling unified production and profitability analysis.
Integrating and potentially mobilizing this information helps oil and gas firms optimize processes by providing collaborative information and integrating seismic data management with unstructured information. This supports data preservation, data quality, data accessibility, and real-time process refresh.
For clients performing seismic studies, Baron MSP and it's partners has gone a step further—supporting high fidelity seismic data capture by incorporating Baron MSP and partners accelerometers. These wireless self-powered accelerometers provide greater density of information, which results in increased visibility and clarity to support geotechnical analysis.
Development phase optimization includes overall asset development, product lifecycle management, and asset lifecycle management techniques—with a focus on reducing the duration of the development cycle. Optimizing the supply chain in support of development phase activities includes capturing and validating information for drilling, well development, facilities development, topsides development, geophysical data, and security efforts related to the access of control data. IM&A supports analysis of data by following or leveraging client or industry-based standards. Compliance with standards ensures information management capabilities are implemented and supportable over the long term.
Baron MSP and partners’s experienced IM&A professionals help clients focus on uptime and production optimization for both upstream and downstream operations. Oil and gas companies can identify appropriate signatures through the use of Baron MSP and partners-developed algorithms to analyze information from multiple control systems and data historians. These algorithms are then implemented in appropriate real-time control systems to act automatically, or support manual processes for intervention or process change.
Around the world, Baron MSP and partners works with clients to optimize results such as uptime with condition-based maintenance techniques involving the linkage and analysis of real-time operating data with asset maintenance and inspection data. The increased use of mobility solutions, whether based on common mobile devices or sophisticated machine-to-machine systems, provides another set of potential data streams for either analysis or condition-based monitoring activities.
In support of this, the trend toward an integrated operations model—providing common, standardized data for improved processes and enhancing the ability to detect, analyze, and show trends in operational data aberrations—helps to significantly facilitate optimizing uptime. For example, by leveraging a predictive/preventative model, oil and gas companies can better determine if a piece of equipment is degrading or requires inspection or maintenance, or should have its primary duty changed based on fatigue or power cycles.
Compliance and incident response
The increased web of local, state, and federal regulations that change and mature with increasing activity of nonconventional assets has increased compliance requirements across the oil and gas lifecycle. Documentation and the ability to show traceability across structured and unstructured information help demonstrate what activity happened and when, so it is clear when the energy firm has completed the steps necessary to avoid incidents, mitigate impacts, resolve problems, and prevent similar incidents in the future.
Comprehensive IM&A solutions for the oil and gas industries
To become one of tomorrow’s market leaders, oil and gas firms must unlock the value within the huge amounts of data they have. Baron MSP and partners can help these companies leverage the power of technology to capitalize on, not simply adapt to, challenges involving the management of this wealth of information. By implementing robust operational data stores for structured and unstructured information combined with powerful analytics platform capabilities designed to handle large volumes of streaming and historical data, firms can reduce time to oil and improve operational results.


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