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The Intelligent Oilfield - Point of View Stampa E-mail

abstract in italiano

di J.R. Matson, Associate Partner IBM Global Business Services Upstream Oil and Gas


CREATING A COLLABORATIVE ENVIRONMENT FOR DECISION MAKING


The intelligent oilfield encompasses a collaborative environment for communication; data collection, reporting and monitoring; knowledge and information sharing. This environment helps people make informed decisions and take appropriate actions across the enterprise. In addition, it enables alignment, focus and common understanding to help prioritize operations.
According to a Cambridge Energy Research Associates (CERA) study, the benefits of the intelligent oilfield can include lower operational costs, earlier and increased production, lower capital investment, increased recovery of oil and gas, and lower abandonment costs. What’s more, a significant increase in asset value can be achieved if oil and gas reservoirs are managed on demand and in real time.The CERA study also notes that field operator productivity can increase between 100 and 400 percent,operating

J.R. Matson (a destra) riceve, per il lavoro qui pubblicato,
il premio "Miglior paper tecnico" in occasione della
Offshore Mediterranean Conference and Exibition
tenutasi a Ravenna dal 28 al 30 marzo 2007

costs can decline by 10 to 20 percent and average production rates can increase by 1 to 3 percent. Depending on the oil and gas field size, savings can be generated in the hundreds of millions of dollars. This could result in value creation in the billions of dollars each year.
Innovations in various technologies are helping people make the intelligent oilfield a reality. For example, massive amounts of sensor data are being delivered to skilled people who then remotely search the data; convert it to usable knowledge and use it via advanced visualization technology – avoiding cumbersome data stores and transmission by allowing raw data to remain at the source. This helps analysts automatically detect complex data patterns/problems – such as sand production in wells – so the right person can be alerted to initiate a response before a problem occurs. Visualization, modelling and analytics make it easier for decision makers to understand a wealth of complex information, which can lead to improved oil and gas reservoir management.

SUCCESSFULLY INTEGRATING PEOPLE, PROCESS AND TECHNOLOGY
An intelligent oilfield solution has five key performance-oriented implementation components. These interdependent components can be essential to achieving significant return on investment from an intelligent oilfield. Implementing them facilitates real-time global asset awareness – or access to data from all of the appropriate assets – by enabling proactive asset management using frequently captured data that can be distributed, converted into relevant knowledge,evaluated and acted upon in real time.
With such a program in place, oil and gas companies can use the wealth of information generated from their assets more effectively to make more informed and predictive business decisions. Companies can also remotely and collaboratively manage wells and fields;this helps to save time and money and extends the reach of skilled resources, while also increasing recovery and reducing risks. The intelligent oilfield is designed to help people (the highest-valued component) work together more effectively, in order to reap the greatest value from the highest-cost component (data gathering and control) and its midlevel by-products. Raw data (bottom right) migrates up through each component until it is converted into knowledge (upper right), which people use for improved decision making. Ultimately, all the technology components support the workflow of skilled personnel. Depending on circumstances, a company may focus (or start the program) via any of the five components first. But a successful initiative depends on fully integrating all five.

LIMITATIONS OF TRADITIONAL INFORMATION ANALYSIS
The approach to the intelligent oilfield outlined above addresses the difficulty of turning raw data captured around the clock in real time into useful, relevant information - and, in turn, knowledge. Having this critical knowledge helps people make business-critical decisions, and finding a way to get it is a key challenge for the upstream oil and gas industry. What’s more, determining the appropriate action to take from raw data generated by an individual well is a challenge, given the uniqueness of reservoirs and wells worldwide.Projects are also becoming more complex as companies explore in diverse and unforgiving environments - placing ronments - placing a greater burden on the aging, increasingly scarce population of skilled technical personnel.
For these reasons, much potentially useful raw data is not stored and rarely analyzed. Nor is it distributed to the people who need it most. Common and complex production problems – such as sanding, water encroachment, skin damage that limits productivity, corrosion and scaling – adversely affect production and/or equipment.
To prevent and solve these problems, skilled personnel need to understand the issues and processes and be able to critically analyze information and take appropriate action. All of this is changing how upstream oil companies address data collection, interpretation and analysis in the oilfield. The need for a new approach is illustrated by the following examples:
Today’s data volumes are 100 to 1,000 times greater than volumes gathered by conventional technology – making data management difficult.
With fewer skilled staff members, demand has increased for more global collaboration to leverage available skills, facilitate work in appropriate physical environments and support the use of common applications and IT infrastructures. Staff members need secure Web access – anytime, anywhere and from multiple devices – and more electronic documents (for example, the electronic-well file).
Non-technical (back-office) activities must be reduced to maximize limited technical (engineering and geosciences) resources; this includes functions such as linking payment transactions for complex services to real-time payment.
External threats to security are increasing; these factors are being addressed by data-gathering and analysis technologies such as intelligent supervisory control and data acquisition (SCADA), early event warning, smart alarming and automated controls. The following sections outline how the approach to the intelligent oilfield helps to overcome these challenges, examining each of its five components in order of importance.

PEOPLE AND COLLABORATION: THE HUMAN FACTOR MATTERS
The most critical success factor in any intelligent oilfield program is the degree to which people can leverage the latest tools and technologies for improving analysis, alarm capabilities and process management to help them make better-informed, more proactive decisions. New skills and ways of working (including collaboration, knowledge sharing and assistance to those who work in remote locations), change management and new organizational models are at the heart of realizing the intelligent oilfield. In an intelligent oilfield environment, people must collaborate in innovative ways to enhance their productivity and improve the performance of the organization’s oilfield assets. And effective collaboration demands clear and straightforward communication within a simple organizational structure. This mutual effort – among all those responsible for monitoring and maintaining the oilfield assets – gives people more dedicated time for innovation, creativity and continuous improvement. Collaboration can occur at a single location, or it can occur virtually, across many locations. And it can include access to knowledge and expertise outside of a physical asset or business unit.
Working together in new ways requires people to practice acute listening skills. The company must also develop and implement clearly defined roles, responsibilities, accountabilities, measures and key performance indicators for the processes and participants in the intelligent oilfield environment. Training, coaching and mentoring are vital to interpreting real-time information, making real-time decisions and achieving rapid, effective execution. All of this may require a mind-set shift from a pure “react” mode of operation to an “anticipate and pre-empt” mode. Think of the intelligent oilfield as a catalyst for change. It drives maximum efficiency from an oil company’s people, processes and technologies. It may also force some reevaluation and consolidation of IT systems and integration with other organizations and their IT systems. And its success depends not only on seamless implementation of the right processes and technical solutions, but also on adoption of the right approach to managing change and ensuring continuity.

WORKFLOW OPTIMIZATION: PROCESS AS A CATALYST FOR CHANGE
Many of today’s oilfield-related workflows and processes are based on raw data collection and delivery frequency. The intelligent oilfield takes full advantage of the fact that data from the oilfield can be collected and delivered in real time, by streamlining numerous oilfield-related processes and their sequence. This in turn helps people increase their productivity and efficiency. Real-time collection and delivery of oilfield data dramatically changes the way people process and use information. In an intelligent oilfield, integrated business processes (end-to-end across the company and with key partners, distributors and suppliers) are designed to help the company respond more quickly to change. Change can mean an increase or decrease in customer demand, a new marketplace opportunity or an external threat. Optimization of the value net, or the set of customers and vendors that a company uses, can reduce complexity via improved collaboration, reduced cycle times and lower operational costs. By increasing the flexibility of information analysis, a company can extract more value from information through an increased ability to manage volatility and unpredictability. This flexibility helps companies define,assimilate, standardize and manage core business processes while evaluating key performance indicators-all of which are critical for sharing knowledge and implementing improved practices across the enterprise.

INTEGRATED SYSTEMS AND APPLICATIONS: CONNECTING THE DOTS
With the capabilities of today’s monitoring technologies, a single oil or gas field can generate more than a terabyte (1,024 gigabytes) of raw data per day. Moving such massive amounts of data across unconnected, disparate IT architectures can slow down interdepartmental communication. In an intelligent oilfield environment, applications need to interact with each other more effectively and efficiently and use the same data.
That way, a global workforce possibly working in remote centers has a standard set of tools to convert data into actionable information. Without such tools, people in different groups could create confusion by making contradictory or incompatible analyses and, in turn,adversely impact decisions and timing. The use of an approach to the intelligent oilfield that integrates Web services and a supporting service-oriented architecture (SOA) is a proven set of technologies that enables a plug-and-play environment that can help to streamline work processes and enhance business efficiencies. It can help companies turn raw data into information that can be directed to the right person, in the right format and at the right time, to facilitate the right decisions.

DATA MANAGEMENT AND INFRASTRUCTURE: MANAGING DATA BETTER
Most of today’s upstream oil and gas companies struggle with data management. This struggle will grow acute as companies establish operations centers in more remote locations and increase their demands for quality information, timely decisions and response from these locations. To decrease the cycle time from an adverse occurrence in the field to a decision and its proper execution, companies (and specifically the right people) need accurate, real-time, remote access to all data and information related to wells, reservoirs and the associated equipment.
Once gathered, intelligent oilfield data must be transmitted, sometimes over vast distances, to enable more resources (people and computers) to assist in evaluation and decision making. Increased collection frequency leads to greatly increased data volumes. Currently, as much as a third of a skilled oil and gas engineer’s time is spent on data mining. With more raw data constantly arriving, more data-mining time is required. This, in turn, demands a high-bandwidth communications infrastructure and more robust data management. By combining analytics and business intelligence tools with this high-bandwidth infrastructure that helps to turn raw data into useful information,upstream oil and gas companies can increase business benefits from productivity and efficiency gains.
The intelligent oilfield can effectively address these data management challenges. Hierarchical analysis of the wealth of data that a field generates can help to create knowledge that helps analysts predict adverse and beneficial occurrences more accurately. Analysts can intervene based on historical data already captured, analyzed and archived. Furthermore, they can conduct reservoir analysis at any time, based on the data stream, rather than having to wait for major milestones. And finally, the intelligent oilfield can facilitate integration of existing internal and external systems, such as asset management, workflow and finance. And it can provide analysts with an enterprise-wide view of data that dramatically enhances longer-term strategic planning and performance.

DATA GATHERING AND CONTROL: COLLECTING THE RIGHT STUFF
Data and the information derived from it sustain the entire oilfield effort. Rates, cuts, pressures, acoustics and temperatures are the most basic data points, and companies deal with many other significant data points as well. But many companies today collect data with uncertain frequency and deliver it for conversion into actionable knowledge with similar uncertainty.
In the intelligent oilfield,however,data is not just collected and stored. It is scrubbed, normalized and calibrated. Raw data remains at the source; metadata is transmitted across the entire IT infrastructure. Information is fused and analyzed with multiple data streams around the clock, in near real time, helping companies to prevent costly occurrences such as pump failures. By analyzing the information derived from data against multiple historical references, oil and gas companies can more accurately predict future performance and proactively solve problems. Anomalous patterns can be detected and sent to the appropriate person for investigation; and the analyst can then reprogram the appropriate software, if necessary, to help improve future accuracy. Autonomic data analysis (i.e.,selfconfigured,self-adaptive analysis) runs unaided, providing early warning of critical issues such as sand and water breakthrough and fluid composition changes.

CONCLUSIONS
Common intelligent oilfield service solutions are focused on people, process and technology areas. Although these three core components have been recognized for some time, innovation, integration, R&D and industry expertise are what differentiate average performance from a truly successful intelligent oilfield initiative that delivers optimum results. Critical success factors include:

  • Change management requires considerable experience and expertise in facilitating business innovation by helping organizations manage organizational change and the dynamics of people and process to bring about business transformation. This is a key competency, i.e. a critical success factor, in an intelligent oilfield program, where the company must change its work processes, including its rewards and recognition system, to foster a corporate culture geared to proactive prevention of oilfield problems and failures – as opposed to a traditional,reactive culture focused on addressing problems and repairing failures after the fact. The establishment of a blueprint for the implementation of such productive change is recommended. Successful readiness planning helps to identify risk areas over the life of the project. And by understanding the implementation environment – including related processes, oilfield technology and IT projects helps to mitigate risks in these areas. Additionally, the identification of integration points, dependencies and synergies between the intelligent oilfield solution and other company initiatives is of paramount importance for understanding and implementing a change program.
  • Executive sponsorship and stakeholder alignment is important to achieve an intelligent oilfield implementation and to achieve its associated business benefits. Key leaders from disparate internal organizations must share a common vision. These leaders must be willing to translate this vision into visible, tangible program support. Large numbers of potentially affected stakeholders, individual contributors, leaders and teams from wideranging geographies must be aligned with a common vision that keeps the greater good in mind. The development and maintenance of alignment is a second critical success factor.
  • Program and project management and roadmap development (the third critical success factor), i.e. understanding what must happen in each phase, and why it is necessary, lies at the heart of change management – particularly in an undertaking as large and complex as an intelligent oilfield program. Such an initiative demands full-time coordination throughout an organization, along with a clearly articulated solutions strategy and a plan to deploy it. Rigorous program and project management capabilities help to create a vision and roadmap designed to bring an intelligent oilfield initiative to fruition in a way that integrates the crucial components of people, process and technology. A roadmap is designed to provide a holistic view and to sequence projects that will help to accelerate implementation.
  • An intelligent oilfield program can bridge the business-to-IT technology gap and facilitate the introduction of new and more effective business processes by addressing the integration and rationalization of relevant petro-technical and business applications, systems and databases. This can include developing sin-
    gle-point data entry, simplifying or eliminating point-to-point interfaces and building a more flexible IT infrastructure. Additionally, the implementation of other technologies such as middleware, a data warehouse or Service Oriented Architecture can help to simplify the intelligent oilfield IT architecture.
    These innovative technologies can provide plug-and-play processes and information capabilities in a framework designed to enable an organization and its people to collaborate on a deeper,more efficient, global level.
  • The fifth critical success factor is “the single version of the truth”. To a user, the intelligent integration of applications, systems and databases means a single data point for any given circumstance. No longer will multiple versions of the same data exist in local or unconnected databases. Having a single version of data and the information derived from it eliminates the time-consuming need to explain and reconcile multiple versions of data coming into engineering, accounting and other departments and it helps to reduce work redundancy, thereby improving efficiency. The “single version of the truth” becomes a key enabler for people to make higher-quality and repeatable decisions. It is particularly important when regional or global experts, working in remote collaboration centers or control rooms, rely on accessible information to make key decisions.

 

 

 

 

 

 
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