An Innovative Approach To Select Shallow Casing Points Remotely, Utilizing Real-Time WITSML Data

Khudiri, Musab; Oteibi, Munahi D; Gadri, Waleed I. I.; Al-Sanie, F. S.; Kashif, Mohammad; Hickin, Gary

doi:10.2118/167813-ms

All Days 2014

DOI: 10.2118/167813-ms

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An Innovative Approach To Select Shallow Casing Points Remotely, Utilizing Real-Time WITSML Data

Musab Khudiri

Munahi D Oteibi

Waleed I. I. Gadri

et al.

Abstract: This paper describes the continued & increasing impact of WITSML on the Drilling & Workover real time operations. The Wellsite Information Transfer Standard Markup Language (WITSML) is an Industry Standard that is used for transmitting GeoTechnical Data from the Wellsite to specialised databases. Saudi Aramco has been and remains to be the largest user of WITSML and is the Leader in the development of innovative techniques that improve Well Safety and Efficiency. Saudi Aramco Drilling & Exploration teams have … Show more

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Cited by 3 publications

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Fusion of Real Time Data Transmission and Visualization to Optimize Exploration Well Testing Operations

Miyajan

Khudiri

Wuhaimed

et al. 2015

Day 1 Tue, September 15, 2015

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One of the critical operations during the exploration phase is well testing required determining fluid type, flow rate, and the sustainability of the production. With the right planning, technology and implementation, well testing can ensure reservoir quality and production such as, permeability, initial reservoir pressure, hydraulic fracture parameters, near wellbore formation damage, geometry of the reservoir, and reserve quantities. Exploration Well Testing Operations require a complex integration of various services including surface well testing, artificial lift via coiled tubing, downhole data transmission and on-site operational activities. The increase in exploration activities involves various service companies’ proprietary data acquisition systems that introduce a challenge for decision makers due to segmented data and information. This calls for establishing an integrated unified viewer combining the operational data for engineers to enable real-time data supervision, technical support and decision making from the headquarters to well-site locations reducing operational risks and optimize required cost. This paper highlights the progress of the real time data transmission interface to support highly active exploration well testing operations in Saudi Aramco.

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Fusion of Real Time Data Transmission and Visualization to Optimize Exploration Well Testing Operations

Miyajan

Khudiri

Wuhaimed

et al. 2015

Day 1 Tue, September 15, 2015

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Utilization of Real-Time Data and Advanced Correlation/Interpretation Tool for Picking the Formation Tops and Casing Points Remotely: A Cost Effective Solution by RCC

AlAbdulkarim

Saklou

Khudiri

et al. 2017

Day 4 Thu, April 27, 2017

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Remote Casing Control (RCC) is an initiative of the Wellsite Geology Division with the support of Aramcolink. The aim of the RCC team is to provide 24/7 geological support about casing points remotely. Real-time data transmission and the advanced correlation tool are the basic requirements to achieve the end objective of picking the formation tops and casing points remotely. This paper describes the case study that illustrates the great impact of utilization of real-time data transmission and advanced real-time tools to pick casing points and formation tops remotely. The RCC team monitors the active well operation remotely with the help of real-time data streamed by Aramcolink. Moreover, Aramcolink has developed a logic/algorithm to calculate Drill Time from the streamed realtime data. Additionally, the mud logging unit can upload and share the lithology data RCC through the Aramcolink portal. This real-time data is being displayed/exported and downloaded from the Aramcolink viewer. Later it is being used to correlate with some offset wells of the same or a nearby field. Based on the similar signatures of Drill Time and lithology data, formation top and casing points are being picked/ designed. Other than shallow casing points, the RCC team is also picking the 7" liner point remotely with the aid of a mud logging unit to provide them with the lithology and gas readings where the deeper section ROP is not enough to decide and pick the formation tops or casing points. The RCC team also uses RigChat to effectively communicate with rig personnel and keep involved parties informed. This technique decreases the operational cost and avoids the mobilization of a dedicated wellsite geologist on each rig. Ease to manage multiple wells at the same time from office location Effective surveillance and monitoring of the drilling operation Timely and collaborative decisions to save the rig time Effective communication with all involved parties Reduced travel and physical exposure which may cause HSE concerns Minimized logistical cost Record of the historical data for quick quality control (QC) Fast and flexible data interpretation with remote expert support Real-data accessible for surveillance at anytime, anywhere with Extranet Hence, saving time and costs, improving safety, boosting business and return on investment The reliance on high quality real-time data from oil and gas operations has been significantly increased in the past few years. High rate real-time data is the baseline for critical remote analyses and decisions that can lead to a maximized oil/gas recovery, increasing the revenue, reducing the operational cost while minimizing the HSE concerns.

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Survey of Big Data New SQL Database Systems for Real-Time Data Transfer in the Upstream Oil and Gas Industry

Djamaluddin

Mohammed

2018

All Days

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In less than a decade, there has been a tremendous evolution in the various storage solutions used to contain wellsite data in the upstream oil and gas industry. Many organizations from wellsite data management providers to the oil and gas operators themselves are moving away from traditional relational database management systems (RDBMS) and towards big data solutions. There are several reasons for this evolution. First, data flow has increased at an unprecedented rate as the number of rigs increase and so has the data frequency rate. Second, the types of data from the sensors and data acquisition systems (DAQ) have also grown. Third, for data analytics that requires high-speed processing, it needs to be received in a timely manner so insights can be drawn for better, faster decision- making. Big Data implementation known as NoSQL databases were proposed to handle conditions where: the data volumes are increasing exponentially, various types of data that are being transmitted or connected from various sources which are substantial for data analytics, and the last is the high-velocity streaming data that requires high-speed processing. Moving in this direction is not without sacrifice. For example, companies adopting NoSQL give up several important factors, for instance, how the database handles transactions from multiple applications. Implementing NoSQL means giving up the benefits of Atomic, Consistent, Isolated and Durable (ACID). NewSQL comes as a promising new solution which offers the same scalable performance as NoSQL for the Online Transaction Processing (OLTP) read-write workloads while still maintaining ACID guarantees for transactions. This paper will investigate, characterize and analyze the list of NewSQL databases in depth and develop comprehensive taxonomy for various critical aspects which come with them. We then will map the requirement of the data storage for handling upstream data to the proposed taxonomy so it can be used as a basis for analyzing each of the databases. At the end, we will predicate and highlight sorted databases which can be recommended for the implementation of next generation wellsite data storage in the upstream oil and gas industry.

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An Innovative Approach To Select Shallow Casing Points Remotely, Utilizing Real-Time WITSML Data

Cited by 3 publications

References 0 publications

Fusion of Real Time Data Transmission and Visualization to Optimize Exploration Well Testing Operations

Fusion of Real Time Data Transmission and Visualization to Optimize Exploration Well Testing Operations

Utilization of Real-Time Data and Advanced Correlation/Interpretation Tool for Picking the Formation Tops and Casing Points Remotely: A Cost Effective Solution by RCC

Survey of Big Data New SQL Database Systems for Real-Time Data Transfer in the Upstream Oil and Gas Industry

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