Fracture gradient prediction: an overview and an improved method

Abstract The fracture gradient is a critical parameter for drilling mud weight design in the energy industry. A new method in fracture gradient prediction is proposed based on analyzing worldwide leak-off test (LOT) data in offshore drilling. Current fracture gradient prediction methods are also rev...

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Autores principales: Jincai Zhang, Shang-Xian Yin
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Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2017
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spelling oai:doaj.org-article:e6345ba27c784d249bde21fbfd871dfc2021-12-02T04:12:56ZFracture gradient prediction: an overview and an improved method10.1007/s12182-017-0182-11672-51071995-8226https://doaj.org/article/e6345ba27c784d249bde21fbfd871dfc2017-09-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-017-0182-1https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract The fracture gradient is a critical parameter for drilling mud weight design in the energy industry. A new method in fracture gradient prediction is proposed based on analyzing worldwide leak-off test (LOT) data in offshore drilling. Current fracture gradient prediction methods are also reviewed and compared to the proposed method. We analyze more than 200 LOT data in several offshore petroleum basins and find that the fracture gradient depends not only on the overburden stress and pore pressure, but also on the depth. The data indicate that the effective stress coefficient is higher at a shallower depth than that at a deeper depth in the shale formations. Based on this finding, a depth-dependent effective stress coefficient is proposed and applied for fracture gradient prediction. In some petroleum basins, many wells need to be drilled through long sections of salt formations to reach hydrocarbon reservoirs. The fracture gradient in salt formations is very different from that in other sedimentary rocks. Leak-off test data in the salt formations are investigated, and a fracture gradient prediction method is proposed. Case applications are examined to compare different fracture gradient methods and validate the proposed methods. The reasons why the LOT value is higher than its overburden gradient are also explained.Jincai ZhangShang-Xian YinKeAi Communications Co., Ltd.articleFracture gradient predictionLeak-off testBreakdown pressureMud lossFracture gradient in saltScienceQPetrologyQE420-499ENPetroleum Science, Vol 14, Iss 4, Pp 720-730 (2017)
institution DOAJ
collection DOAJ
language EN
topic Fracture gradient prediction
Leak-off test
Breakdown pressure
Mud loss
Fracture gradient in salt
Science
Q
Petrology
QE420-499
spellingShingle Fracture gradient prediction
Leak-off test
Breakdown pressure
Mud loss
Fracture gradient in salt
Science
Q
Petrology
QE420-499
Jincai Zhang
Shang-Xian Yin
Fracture gradient prediction: an overview and an improved method
description Abstract The fracture gradient is a critical parameter for drilling mud weight design in the energy industry. A new method in fracture gradient prediction is proposed based on analyzing worldwide leak-off test (LOT) data in offshore drilling. Current fracture gradient prediction methods are also reviewed and compared to the proposed method. We analyze more than 200 LOT data in several offshore petroleum basins and find that the fracture gradient depends not only on the overburden stress and pore pressure, but also on the depth. The data indicate that the effective stress coefficient is higher at a shallower depth than that at a deeper depth in the shale formations. Based on this finding, a depth-dependent effective stress coefficient is proposed and applied for fracture gradient prediction. In some petroleum basins, many wells need to be drilled through long sections of salt formations to reach hydrocarbon reservoirs. The fracture gradient in salt formations is very different from that in other sedimentary rocks. Leak-off test data in the salt formations are investigated, and a fracture gradient prediction method is proposed. Case applications are examined to compare different fracture gradient methods and validate the proposed methods. The reasons why the LOT value is higher than its overburden gradient are also explained.
format article
author Jincai Zhang
Shang-Xian Yin
author_facet Jincai Zhang
Shang-Xian Yin
author_sort Jincai Zhang
title Fracture gradient prediction: an overview and an improved method
title_short Fracture gradient prediction: an overview and an improved method
title_full Fracture gradient prediction: an overview and an improved method
title_fullStr Fracture gradient prediction: an overview and an improved method
title_full_unstemmed Fracture gradient prediction: an overview and an improved method
title_sort fracture gradient prediction: an overview and an improved method
publisher KeAi Communications Co., Ltd.
publishDate 2017
url https://doaj.org/article/e6345ba27c784d249bde21fbfd871dfc
work_keys_str_mv AT jincaizhang fracturegradientpredictionanoverviewandanimprovedmethod
AT shangxianyin fracturegradientpredictionanoverviewandanimprovedmethod
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