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Maximising the Use of Horizontal Well Data in the Structural Framework of the Reservoir Modelling Workflow: A Case Study of a Middle East Carbonate Reservoir

Authors
David Rafael Contreras Perez (OMV E&P GmbH - Abu Dhabi) | Ruqaya Abdulla Al Zaabi (ADNOC Offshore - GUL) | Bernato Viratno (OMV E&P GmbH - Abu Dhabi) | Christopher Sellar (OMV E&P GmbH - Abu Dhabi) | Maria Indriaty Susanto (OMV E&P GmbH - Abu Dhabi)
DOI
https://doi.org/10.2118/196638-MS
Document ID
SPE-196638-MS
Publisher
Society of Petroleum Engineers
Source
SPE Reservoir Characterisation and Simulation Conference and Exhibition, 17-19 September, Abu Dhabi, UAE
Publication Date
2019
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-669-0
Copyright
2019. Society of Petroleum Engineers
Keywords
Middle East, Modeling workflow, Structural framework, Horizontal well
Downloads
3 in the last 30 days
48 since 2007
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SPE Non-Member Price: USD 28.00
Abstract

This paper summarizes an efficient workflow for building a reliable static model reference case by improving the accuracy of well placement in a hydrocarbon bearing structure. This is beneficial in optimising upcoming well target position and trajectory planning as well as during the dynamic history matching process. In a non-operated venture, the ability to generate an up-to-date static model that maintains pace with operations, provides valuable insight to advise the operator on the upcoming drilling plan and continuously supports the dynamic model for reserves booking, is highly sought after.

The systematic approach described in this paper is applied to a geo-model from a Middle East carbonate reservoir consisting of over 50 wells with good quality PSDM seismic data. The workflow presented begins with seismic mapping, utilizing volume-based modelling techniques, followed by structural element correction using borehole images (e.g. structural formation dip and true stratigraphic thickness estimate) and finally introduces alternative control points, which enable drilled wellbore trajectories to be structurally anchored, based on layer thicknesses and structural trends within the target reservoir.

Using this approach it is possible to generate a consistent structural model that honours geological markers, measured dip ranges and structural trends seen from seismic data and image logs. During the process one learns more about data quality (e.g. scale of data resolution and depth of investigation), associated with specific fields and carbonate reservoirs through the interaction between geological, geophysical and petrophysical disciplines and ensures their correct use. Data are used to improve the raw interpreted seismic horizons by calibrating mapped thickness distribution against the well tops. 2D visualizations are generated on a well-by-well basis, including map views, curtain sections (along each horizontal well), composite cross-sections and 3D visualizations to show inter-well relationships within different geological layers. As a result the well is placed in the correct structural position. Correct well placement, especially of highly deviated/horizontal wells, provides more accurate identification of reservoir sweet spots, leading to improved well target position and trajectory planning for upcoming wells, and a robust baseline to achieve production/well test history match during the dynamic modelling process.

File Size  1 MBNumber of Pages   12

Ehrenberg, S. N. (2019). Petrophysical heterogeneity in a Lower Cretaceous limestone reservoir, onshore Abu Dhabi, United Arab Emirates. AAPG Bulletin, 103(3), 527-546.

Gomes, J., Parra, H., & Ghosh, D. (2018, November). Quality Control of 3D GeoCellular Models: Examples from UAE Carbonate Reservoirs. In Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers.

Tsyganova, E. F. (2011, January). Horizontal Well Modelling in Case of Highly Heterogeneous Anisotropic Reservoir. In SPE Reservoir Characterisation and Simulation Conference and Exhibition. Society of Petroleum Engineers.

Maucec, M. (2016). U.S. Patent No. 9,330,064. Washington, DC: U.S. Patent and Trademark Office.

Gazet, S., Chavanne, E., & Khalaf, A. (2009, October). Evaluating the Impact of Geophysical Uncertainties on Gross Rock Volume in a Low Relief Carbonate Field, Offshore Abu Dhabi. In SPE/EAGE Reservoir Characterization & Simulation Conference.

Susanto, M. I. (2019). An efficient approach to diagnose and improve 3D reservoir model quality in a highly diagenetic heterogeneous and hydrodynamic pressure carbonate field case study. SPE Reservoir Characterisation and Simulation Conference and Exhibitions. September 2019

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