Wellsite Information Transfer Specification (WITS) for Digital Rig-Site Data

Jantzen, R.E.; Foreman, Russell D.; Keltner, L.; McCoy, Ron

doi:10.2118/16141-pa

Cited by 13 publications

(2 citation statements)

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“…The uptake of real-time D&E data delivery could only add to this complexity were it not for the industry's foresight in developing cross-platform standards for managing and exchanging D&E data: namely WITS which has conceptually evolved into WITSML. WITS (Wellsite Information Transfer Specification) was an early standard, developed in the 1980's and governed by API, for the transfer of purely real-time drilling and related data via relatively simple serial exchange (Jantzen et al 1989). Supported by hardware and software WITS gained widespread acceptance across the D&E sector for the free-flow update of data, and is still used extensively today.…”

Section: Standardisation Simplification and Securitymentioning

confidence: 99%

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Regan¹,

Igland²,

Andresen³

2013

All Days

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Today, even relatively basic drilling operations generate substantial amounts of real-time data, both at surface and downhole, all paid for by the Operator. This data can stagnate as a commodity, archived in a database or a drawer. Or it can be transformed into an asset enabling optimized well delivery through immediate, informed, collaborative decision-making. This transformation from data object to value-adding asset is made by intelligent use of real-time data management that drives ergonomic data display -the right data to the right people at the right time -applied automated data analysis and monitoring by exception, and correlative and predictive techniques comparing real-time with planned, historical and 'what-if' data. Such sophisticated data management only becomes truly and consistently effective when governed by industry-accepted standards, provided in a vendor-neutral manner that makes the raw data source irrelevant. This paper describes the ongoing evolution of an independent real-time data management infrastructure, service and solution. This includes acquisition-to-application dataflow, all wholly within industry standards, powering a variety of data management and monitoring modules optimizing various well operations. Real world examples highlight how such solutions support the performance of wellbore construction teams to achieve their key goal: to deliver wells safely, quickly, accurately, consistently and cost-effectively. IntroductionDrilling for oil and gas is costly, dangerous and complex. Errors made during the wellbore construction can potentially damage a company's reputation. The stakes are already high, but inefficient well delivery can cause a significant financial impact. With the risks well understood, Operators are under pressure to improve their efficiency in well delivery and find ways to predict situations that could have a negative impact on HS&E or the bottom line.

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Section: Standardisation Simplification and Securitymentioning

confidence: 99%

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Regan¹,

Igland²,

Andresen³

2013

All Days

View full text Add to dashboard Cite

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“…The fi rst generation of drilling operations centers led to the development of WITS as described by Jantsen et al (1989). The growth of real-time data services in the late 1990s led to renewed interest in standards and the development of WITSML, which built upon previous WITS work that was updated to conform to the extensible markup language standards widely used for Internet data transfer.…”

Section: Functionality and General Trendsmentioning

confidence: 99%

Real-Time Drilling Operations Centers: A History of Functionality and Organizational Purpose—The Second Generation

Booth¹

2011

SPE Drilling &Amp; Completion

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Two phases in the evolution of drilling operations centers are identified on the basis of published information. The first was examined in detail in an earlier paper (Booth 2009). The second is examined here by way of a review of several operators' strategies over time and in different areas of operation. The first generation of centers was short-lived, failing to survive the reductions in oil price and drilling activities of the late 1980s. The second generation, beginning in the early 2000s, benefited from rapid evolution of information technology in the intervening years and is part of a broader trend toward integrated operations and collaborative work processes. Common trends are identified from the case histories presented. These include a discussion of foundational capability, data and architecture standards, higher-level work processes, and organizational-change management.

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Data Aggregation and Drilling Automation: Connecting the Interoperability Bridge between Acquisition, Monitoring, Evaluation, and Control

2012

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Although the oil and gas industry continues to progress with drilling automation, technical challenges remain and must be addressed before this vision can become a reality. One of these challenges is the data aggregation between operators, service companies, drilling contractors and equipment manufacturers. Automation requires that the system not only control sub processes, it must also enable more complex intelligent systems to plan and react to real-time evaluation criteria and respond to predictive intelligence in real time. Data from control systems such as top drives, and evaluation systems such as downhole logging while drilling (LWD) sensors, must be aggregated in a meaningful way so it is portable, contextual, and actionable. Consider controlling the rate of penetration (ROP) based on predictive analytics assessed from formation evaluation (FE) data provided by an LWD sensor. To achieve this, intelligent control and evaluation systems must monitor and exchange information and events within a single, shared perspective.In this paper, we review several technologies currently in use throughout the drilling industry-WITS, WITSML, OPC and PROFIBUS-and present case studies describing the current roles these technologies play and the problems they solve. The authors then analyze the limitations between these interoperable systems and associated barriers in achieving the drilling automation vision. This paper recommends defined goals for the data aggregator and identifies existing challenges surrounding its deployment in current drilling automation environments. The authors also provide recommendations for how the industry should proceed with the implementation of data aggregation for automation. These recommendations ensure drilling automation becomes more than simple process mechanization, but advances towards intelligent systems that transform plans into reality and optimize performance and cost.

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Wellsite Information Transfer Specification (WITS) for Digital Rig-Site Data

Cited by 13 publications

References 0 publications

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Real-Time Drilling Operations Centers: A History of Functionality and Organizational Purpose—The Second Generation

Data Aggregation and Drilling Automation: Connecting the Interoperability Bridge between Acquisition, Monitoring, Evaluation, and Control

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