Well Planning Quality Improved Using Cooperation between Drilling and Geosciences

Cayeux, Eric; Genevois, Jean-Michel; Crepin, Stephan; Thibeau, Sylvain

doi:10.2118/71331-ms

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…5). The application has helped to facilitate the overall understanding of the problem by providing a good grasp of one another's constraints, consequently improving the well planning quality and diminishing the design cycle time (Cayeux et al 2001). …”

Section: Fig 3-overview Of Mangala Field With the Suggested Eighteenmentioning

confidence: 99%

Collaborative Well Planning and Optimization of Well Placement: A Case Study From Mangala Field Development, Rajasthan India

Rosland

Peytchev²,

Sarkar³

et al. 2010

SPE Oil and Gas India Conference and Exhibition

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This paper discusses the approach of Cairn Energy India Ltd. (CEIL) in the use of a state of the art technology that integrates all relevant data scenarios for designing and planning development wells in the Mangala field of Western Rajasthan, India.To improve the quality of the well planning process, CEIL has realized the importance of a collaborative well planning environment, which was implemented by means of its world-class 3D visualization center that enables multidisciplinary well planning workflows to take place in the subsurface environment. The environment includes physical infrastructure, new technology, and data. A fully functioning collaborative well planning environment enables the drilling team to plan wells using engineering tools, including drilling target definition and refinement, well pad positioning, and wellbore position uncertainty, based on company anti-collision policies, with geosciences team capacity to validate those designs against their subsurface data.The Mangala field development process has established the success of CEIL with rapid, multisolution iterations well planning to the entire asset team and improved wellbore positioning based on potential engineering constraints. This process takes the optimum reservoir drainage into account with possible geological hazards and reduces the operational cost by complementing technical expertise across the broad disciplines. The workflow aids wellbore and drilling optimization and improves decision making and collaboration throughout the field development sequence.The paper explains the detailed aspects of collaborative well planning and optimization of well placement methodology used for Mangala field, which includes 11 horizontal wells that were largely designed as shallow extended reach drilling (ERD) wells. It demonstrates how this method significantly improved the mutual workflow between departments and increased efficiency. This paper also describes the interactive design that dramatically decreased the cycle time in planning more than 160 wells in the field, which contributed to effective development plans and well placement based on geological, drilling, and completion requirements. IntroductionThe level of complexity and difficulty of performing planning phases has increased over the last two decades, especially in those cases that require collaboration among all disciplines, including drilling, geology, geophysics, and reservoir characterization. This process collectively demands the respective professionals to contribute their expertise in optimizing the well. The ability of each discipline to rapidly create and evaluate a mixture of alternative development plans and to efficiently make key decisions during the planning stage provides the most value to the overall development project.CEIL has deliberately worked toward improving its existing resources, including the people, facilities, hardware, and software services, because only with this new method of working will it revolutionize the way that people manage their day-to-day ass...

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Section: Fig 3-overview Of Mangala Field With the Suggested Eighteenmentioning

confidence: 99%

Collaborative Well Planning and Optimization of Well Placement: A Case Study From Mangala Field Development, Rajasthan India

Rosland

Peytchev²,

Sarkar³

et al. 2010

SPE Oil and Gas India Conference and Exhibition

View full text Add to dashboard Cite

show abstract

“…Careful planning and evaluation are required to successfully complete a project whether drilling easy, normal pressure wells, in shallow water, shallow target, benign environments; or difficult wells with a complex geometry that have a combination of high temperature, high pressure, narrow pressure/formation gradient windows, salt, rafted shale, high angle, shallow hazards, deepwater, contaminated environments. A multi-disciplinary operational team is usually the most efficient to deal with drilling/well construction issues and objectives [28][29][30].…”

Section: Well Planningmentioning

confidence: 99%

Modeling the time and cost to drill an offshore well

Kaiser

2009

Energy

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“…The target axis represents the optimum placement of the well inside the reservoir. As the final trajectory may not follow exactly this axis, the target boundaries are defined to capture the acceptable limits of the final well position [6]. The target can be defined relative to the geology to allow an automatic update of its location after any update of the model.…”

Section: Targetmentioning

confidence: 99%

“…The drilling phases can be defined relative to formation tops. The whole drilling program is readjusted according to both the relative position of the target, to the tie-in point of the well and the formations in the overburden [6].…”

Section: Well Planningmentioning

confidence: 99%

Geosteering Diagnosis: A New Approach to Monitor the Well Position Within a 3D Geological Model

Thevoux-Chabuel¹,

Fejerskov

2006

Proceedings of SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractWith the increasing demand for more efficient drilling operations, the oil industry is searching for new ways of utilizing all data available while drilling. The integration of the realtime drilling information with data from offset wells and the reservoir model is considered of high value for accurate wellbore placement and geosteering. This paper introduces an original methodology to better understand and analyze the well position within the subsurface and to warn the end user when predefined geological and drilling events are appearing or prognosed ahead of the drill bit. The concept is called Geosteering Diagnosis. We identify a monitored trajectory as composed of a real-time and a project-ahead section. The bit and the MWD/LWD sensors are monitored objects attached to the trajectory. A number of targeted objects (i.e. horizons, contacts, faults, targets, planned and previous drilled wells trajectories, well and grid properties) are accessible from the 3D geological model. Rules can be defined based on the relationship between the monitored objects and any targeted objects. Various thresholds are used to identify events at the time of the drilling and alarms can be triggered on specific cases. The Geosteering Diagnosis is applied to a production well in the North Sea. The rules are used to monitor drilling against the predefined geological model. They provide quantitative information, which can be used to either update the geological model, or take actions regarding the course of the well.

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Well Planning Quality Improved Using Cooperation between Drilling and Geosciences

Cited by 13 publications

References 7 publications

Collaborative Well Planning and Optimization of Well Placement: A Case Study From Mangala Field Development, Rajasthan India

Collaborative Well Planning and Optimization of Well Placement: A Case Study From Mangala Field Development, Rajasthan India

Modeling the time and cost to drill an offshore well

Geosteering Diagnosis: A New Approach to Monitor the Well Position Within a 3D Geological Model

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