Oil well compressive strength analysis from sonic log; A case study
Appropriate selection of bits for different bore-hole sections is the key to achieve superior drilling performance. This is done with the intention to maximize the rate of penetration while maintaining bit integrity and drilling safety, which plays an important role in maintaining well economies. An...
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Institute of Physics Publishing
2019
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my.utp.eprints.236732021-08-19T08:08:06Z Oil well compressive strength analysis from sonic log; A case study Hamdi, Z. Momeni, M.S. Meyghani, B. Zivar, D. Chung, B.Y. Bataee, M. Asadian, M.A. Appropriate selection of bits for different bore-hole sections is the key to achieve superior drilling performance. This is done with the intention to maximize the rate of penetration while maintaining bit integrity and drilling safety, which plays an important role in maintaining well economies. An accurate selection of drilling bit is dependent on the physical characteristics of formation and the compressive strength of rocks. The acquisition of rock strength along the wellbore can be obtained from various sources such as logs, cutting and rock mechanical test or drilling data. This paper posed a trial to obtain compressive strength profile of oilfield's formation from a sonic log. According to the results, the formations have been divided into several groups from very soft to very hard formation to optimize bit selection. The acquisition of rock strength information in different conditions is made possible by the generation of similar rock strength logs by different sources. Nevertheless, the best prediction will be given by meter-by-meter based logs from different references. Hence, log based or drilling based methods remains the most preferred methods used to obtain rock strength logs. In this paper, it is desired to predict the compressive strength of wellbore by using empirical correlation based on well logging data and then investigate the confidence of results by data obtained from drilling data. Later, this method is used to predict uniaxial compressive strength in the entire of oilfield. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067835169&doi=10.1088%2f1757-899X%2f495%2f1%2f012077&partnerID=40&md5=0c5725a86e5df1c8b701d35a26171ce0 Hamdi, Z. and Momeni, M.S. and Meyghani, B. and Zivar, D. and Chung, B.Y. and Bataee, M. and Asadian, M.A. (2019) Oil well compressive strength analysis from sonic log; A case study. In: UNSPECIFIED. http://eprints.utp.edu.my/23673/ |
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Appropriate selection of bits for different bore-hole sections is the key to achieve superior drilling performance. This is done with the intention to maximize the rate of penetration while maintaining bit integrity and drilling safety, which plays an important role in maintaining well economies. An accurate selection of drilling bit is dependent on the physical characteristics of formation and the compressive strength of rocks. The acquisition of rock strength along the wellbore can be obtained from various sources such as logs, cutting and rock mechanical test or drilling data. This paper posed a trial to obtain compressive strength profile of oilfield's formation from a sonic log. According to the results, the formations have been divided into several groups from very soft to very hard formation to optimize bit selection. The acquisition of rock strength information in different conditions is made possible by the generation of similar rock strength logs by different sources. Nevertheless, the best prediction will be given by meter-by-meter based logs from different references. Hence, log based or drilling based methods remains the most preferred methods used to obtain rock strength logs. In this paper, it is desired to predict the compressive strength of wellbore by using empirical correlation based on well logging data and then investigate the confidence of results by data obtained from drilling data. Later, this method is used to predict uniaxial compressive strength in the entire of oilfield. © Published under licence by IOP Publishing Ltd. |
| format |
Conference or Workshop Item |
| author |
Hamdi, Z. Momeni, M.S. Meyghani, B. Zivar, D. Chung, B.Y. Bataee, M. Asadian, M.A. |
| spellingShingle |
Hamdi, Z. Momeni, M.S. Meyghani, B. Zivar, D. Chung, B.Y. Bataee, M. Asadian, M.A. Oil well compressive strength analysis from sonic log; A case study |
| author_facet |
Hamdi, Z. Momeni, M.S. Meyghani, B. Zivar, D. Chung, B.Y. Bataee, M. Asadian, M.A. |
| author_sort |
Hamdi, Z. |
| title |
Oil well compressive strength analysis from sonic log; A case study |
| title_short |
Oil well compressive strength analysis from sonic log; A case study |
| title_full |
Oil well compressive strength analysis from sonic log; A case study |
| title_fullStr |
Oil well compressive strength analysis from sonic log; A case study |
| title_full_unstemmed |
Oil well compressive strength analysis from sonic log; A case study |
| title_sort |
oil well compressive strength analysis from sonic log; a case study |
| publisher |
Institute of Physics Publishing |
| publishDate |
2019 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067835169&doi=10.1088%2f1757-899X%2f495%2f1%2f012077&partnerID=40&md5=0c5725a86e5df1c8b701d35a26171ce0 http://eprints.utp.edu.my/23673/ |
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