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Assisted history matching in the presence of frequent well intervention using generalize travel time inversion
Authors:Rey Alvaro  Datta-Gupta Akhil  Paulo Ballin
Affiliation:aPetroleum Engineering Department, TAMU 3116, Texas A&M University, College Station, TX 77843–3116, USA;bBP America Inc, Houston, TX 77001–0481, USA
Abstract:In this paper we propose an efficient and novel technique that handles production discontinuities through a resampling of the production data, eliminating high frequency production details in a transformed domain. The technique also reduces non-monotonic behavior and results in a response more suitable for the GTTI based misfit calculations. Our proposed approach has been applied to an offshore turbidite reservoir with extensive well intervention resulting in highly detailed production responses. The static model contains more than three-hundred-thousand cells, complex sand depositional distribution combined with fault structures, four pairs of injector-producers, deviated producing wells and more than 8 years of production history. Previous history matching attempts using traditional approaches had difficulties matching production response at the individual well level. With our proposed modifications to the GTTI approach, a significant improvement was obtained on the well level match quality. Most importantly, by visualizing the streamlines and the dynamic adjustment of flow paths during history matching, we could easily identify the areas of inconsistency between the geologic model and the production data. The calibrated geologic model and streamline trajectories provided important insight about communication within sand channels, differences in flow paths and barriers that have not been included in the previous geologic and seismic interpretation.
Keywords:history matching  streamlines  mature waterflooding  high resolution models  generalized travel time inversion
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