Proposed Refracturing Methodology in the Haynesville Shale | Schlumberger
Tech Paper
Location
Haynesville Shale, United States, North America, Onshore
Society
SPE
Paper Number
187236
Presentation Date
2017
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Proposed Refracturing Methodology in the Haynesville Shale

Abstract

During the downturn in the oil and gas industry, many operators have chosen to refracture their previously underperforming wells to boost economics with lower investment compared to drilling new wells. More than 100 horizontal wells have been refractured using chemical diverters across multiple basins in North America since the second half of 2013. Many papers have been published discussing these case studies. However, the refracturing results have been inconsistent. One of the biggest challenges of refracturing with chemical diverters is not knowing what is happening downhole. To better understand this, more refracture modeling should be performed to reliably predict production results before spending the upfront capital for a refracturing treatment.

A proposed refracture numerical simulation methodology was employed to take into account the historical production depletion using calculated pressure and stress measurements along the lateral and in the reservoir. The altered stress fields resulting from reservoir depletion are calculated through a comprehensive workflow coupling simulated 3D reservoir pressure with a geomechanical finite-element model described in a previous published paper. After the stress and pressure are updated, the new approach outlined in this paper is validated by production history matching real data from a previously refractured well in the Haynesville basin to provide more confidence in the end results.

Refracture modeling still poses a major challenge for engineers because of the reservoir complexity and uncertainty downhole while refracturing. However, this proposed refracturing approach provides a basic guideline on how to model refracturing treatments in a numerical simulator with the help of altered stress fields caused by reservoir depletion. This can be used to better understand why previously refractured wells perform the way they do and to better predict the performance of future refractured wells.

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