Derisking Hild Field Development Through Wide-azimuth OBC and Multi-azimuth Streamer Depth Imaging

Douillard, A.; Way, S.; Arnaud, J.; Adamsen, Monica Iren; Mikkelsen, G.

doi:10.3997/2214-4609.201400512

Cited by 2 publications

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“…The input data for the project was taken from the output of a final migration with a multilayered hybrid tomographic model. This consisted of common-image-point (CIP) gathers from three azimuths of streamer data and CIP gathers from the all-azimuth output of the ocean-bottom cable (OBC) data (Douillard et al, 2009). Sonic velocities and markers for six wells were used for interactive vertical transversely isotropic (VTI) ray tracing and anisotropy analysis to build the model.…”

Section: Case Studymentioning

confidence: 99%

Quantifying Structural Uncertainty in Anisotropic Model Building and Depth Imaging: Hild Case Study

Osypov¹,

O’Briain²,

Whitfield³

et al. 2011

73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011

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The paper describes a collaborative project between Total and WesternGeco on quantifying structural uncertainty in application to the development of the Hild field. The key motivation for the project was to improve the seismic uncertainty inputs into the workflows for assessing uncertainty for the gas reserves and risks associated with the development well placement. The main focus of this work was related to the anisotropy ambiguity analysis for more accurate quantifying the structural uncertainty of the BCU top. The workflow used a novel technology of uncertainty analysis in anisotropic model building based on eigen decomposition of the tomography operator and a null-space projection. The main lesson learned was that prior information about anisotropy should be defined thoroughly from the geologic and rock physics perspective and also to be calibrated with the available well data. Overall, the project turned out to be successful and the results enabled more confident decision making in the Hild field development.

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Section: Case Studymentioning

confidence: 99%

Quantifying Structural Uncertainty in Anisotropic Model Building and Depth Imaging: Hild Case Study

Osypov¹,

O’Briain²,

Whitfield³

et al. 2011

73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011

View full text Add to dashboard Cite

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“…The major reason why these reserves were not considered for development until now was the high uncertainty associated with the structural settings in several of the reservoirs (Boutaud de la Combe et al, 2012). Since then, several studies of the underground geology, e.g., seismic and extended well tests (Douillard et al, 2009), have contributed to a better understanding of the structural complexity of the reserves. The increase in knowledge about the subsurface geology over the last 40 years, and the current availability of efficient production techniques (e.g., horizontal well drilling) have been important factors in reassessing the likelihood of a successful development of the reserves.…”

Section: Field Case and Validation Work 331 Martin Linge Field Casementioning

confidence: 99%

Joint optimization of oil well placement and controls

et al. 2012

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In this thesis we optimize the drilling location and operational controls of wells in a joint manner to improve the overall development strategy for a petroleum field. In particular, in this thesis we treat the integrated problem of searching for an improved well placement configuration while also taking into account the control settings of the production and/or injector wells planned for the development of the hydrocarbon asset. In oil field development, the well placement and well control problems are commonly performed in a sequential manner. However, this type of sequential approach cannot be expected to yield optimal solutions because it relies on handling well production controls using heuristic techniques during the well placement part of the procedure. In this work, we develop a nested (joint) optimization approach that seeks to capture the interdependency between the well configuration and the associated controls during the optimization search.This thesis summarizes the development of the joint approach; from establishing the methodology while using relatively simple cases and performing thorough comparisons against sequential approaches, to further extending and finally testing the methodology using a real field case model. This progression naturally divides the work in this thesis into two parts with different research focus. The first part of this work (Chapter 2) focuses chiefly on creating proper definitions and on establishing the proposed methodology against common approaches. The second part of this thesis (Chapters 3 and 4), on the other hand, focuses mainly on applying the developed methodology within a real field case scenario involving the North Sea Martin Linge oil reservoir. The dual aim of this application work is both to further develop the methodology, and to produce and test optimization solutions that may serve as decision-support to engineering efforts within the development work process of the Martin Linge field.Chapter 2 establishes the core of the methodology followed in this thesis. This chapter introduces the joint and sequential approaches as different ways to solve for the coupled well placement and control problem. The joint approach embeds the well control optimization within the search for optimum well placement configurations. Derivativefree methods based on pattern search are used to solve for the well-positioning part of the problem, while the well control optimization is solved by sequential quadratic programming using gradients efficiently computed through adjoints. Compared to reasonable sequential approaches, the joint optimization yields a significant increase in net present value of up to 20%. Compared to the sequential procedures, though, the joint approach requires about an order of magnitude increase in the total number of reservoir simulations performed during optimization. This increase, however, is somewhat mitigated by i the parallel implementation of some of the pattern search algorithms used in this work.Chapter 3 focuses on extending and applying ...

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Derisking Hild Field Development Through Wide-azimuth OBC and Multi-azimuth Streamer Depth Imaging

Cited by 2 publications

References 0 publications

Quantifying Structural Uncertainty in Anisotropic Model Building and Depth Imaging: Hild Case Study

Quantifying Structural Uncertainty in Anisotropic Model Building and Depth Imaging: Hild Case Study

Joint optimization of oil well placement and controls

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