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Overview of a SAGD Previous HitReservoirNext Hit Characterization Strategy for Horizontal Well Placement and Ranking Within the Surmont Lease, McMurray Oilsands, Alberta*

By

David Garner 1, TJ Wheeler 1, Emmanuel Mus 2, and Jean-François Richy 2

 

Search and Discovery Article #40166

Posted August 22, 2005

 

*Oral presentation at AAPG Annual Convention, Calgary, Alberta, June 19-22, 2005

 

Click to view presentation in PDF format.

 

1ConocoPhillips Canada, Calgary, AB ([email protected])

2Total, seconded to ConocoPhillips Canada, Calgary, AB

 

Abstract 

The McMurray Formation is a highly heterogeneous Cretaceous clastic Previous HitreservoirNext Hit with thick, bitumen-saturated sands. We applied a detailed quantitative workflow for integrating multi-scale data, building a geological model, and managing uncertainties associated with planning and controlling a steam chamber for SAGD bitumen extraction. Our main goals in this study were to aid and improve the complex decision making for vertical placement of horizontal wells, for optimizing expected performance, and for ranking of the horizontal well pairs.

 

Let us consider that the SAGD wells can be studied as individual reservoirs, with a drainage volume surrounding each well pair. There is a line of sight (LOS) along the length of the horizontal path or vertical plane and a width. Using the drainage volume and LOS, we calculated parameters such as effective well length, net-to-gross, facies proportions, producible volumes, and a vertical discount factor on stranded volumes for each model realization. A comparison was made to the purely deterministic geological approach.

 

The evaluation focused on the uncertainties in the estimated or simulated Previous HitreservoirNext Hit parameters. To decide on placement, post-processing of the detailed geostatistical Previous HitsimulationsNext Hit provided uncertainty measures on the Previous HitreservoirNext Hit parameters as a function of elevation. A probabilistic model was used to simulate well pair performance and rank the well slots. The model used well placements, extracted Previous HitreservoirTop parameter distributions, SAGD operating conditions, and Butler theory in a Monte Carlo framework.

 

 

Location map

 

 

Stratigraphic framework and typical heterogeneities

 

 

Horizontal well placement

 

 

Drilling to date with GR logs

 

Summary

 

  • Innovative approaches were used to quantify risks and uncertainty, for consistency, and to make decisions from a complex set of criteria.

  • Our Team improved decision making by capturing many aspects of the Geological Model both Deterministically and Probabilistically.

  • The different Quantitative perspectives lead to optimized well placement scenarios.

  • We gained team effectiveness and partner alignment.