{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:52:45Z","timestamp":1768413165745,"version":"3.49.0"},"reference-count":20,"publisher":"IPTC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,13]]},"abstract":"<jats:title\/>\n               <jats:p>Drilling optimization consists of selecting operational parameters that maximize a desirable rate of penetration (ROP). There are many factors, which determine the ROP. Typical factors include rig- and bit-related parameters, formation properties, and drilling fluid properties. To be able to maximize ROP successfully, it is critical to develop a deep understanding of the relationship between controllable drilling parameters and ROP. To this end, ROP model was developed based on statistical analysis method using the key parameters that can be modified quickly to adjust the ROP.<\/jats:p>\n               <jats:p>This study describes a statistical evaluation of wells drilled in Southern Iraq. The analysis attempted to discover the key operational drilling parameters that drive well-optimizing drilling operations. Some key questions to be addressed include: What is the wellbore trajectory (azimuth (AZI) and inclination (INC)) that could result in better drilling performance? What is the effect of total flow area (TFA) on drilling performance? What is the effect of the rig- and bit-related parameters on drilling performance? Is there a relationship between marsh funnel viscosity (MFV), plastic viscosity (PV), yield point (YP), and drilling performance? These and more questions were addressed in this study. This study supplies knowledge that can be used to conduct drilling optimization study and determine the optimum controllable drilling parameters that maximize ROP and economic objectives.<\/jats:p>","DOI":"10.2523\/iptc-19825-ms","type":"proceedings-article","created":{"date-parts":[[2020,1,11]],"date-time":"2020-01-11T00:11:32Z","timestamp":1578701492000},"source":"Crossref","is-referenced-by-count":7,"title":["Application of Statistical Analysis to Optimize Rate of Penetration"],"prefix":"10.2523","author":[{"given":"Ahmed K.","family":"Abbas","sequence":"additional","affiliation":[{"name":"Iraqi Drilling Company"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ghassan","family":"Alqatrani","sequence":"additional","affiliation":[{"name":"Basrah Oil Company"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mortadha","family":"Al Saba","sequence":"additional","affiliation":[{"name":"Australian College of Kuwait"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haider Q.","family":"Mohammed","sequence":"additional","affiliation":[{"name":"Basrah Oil Company"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Waleed","family":"Al-Bazzaz","sequence":"additional","affiliation":[{"name":"Kuwait Institute for Scientific Research"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"861","published-online":{"date-parts":[[2020,1,13]]},"reference":[{"key":"2025050614222392400_R5","doi-asserted-by":"crossref","unstructured":"Alqatrani, G. S., Britt, L. K., Otzen, G., Guzman, M., Kusanovic, G., and Dunn-Norman, S., 2018. Fracture Optimization of an Unconventional Gas Resource in Southern Chile. Presented at the SPE International Hydraulic Fracturing Technology Conference and Exhibition. https:\/\/doi.org\/10.2118\/191428-18ihft-ms.","DOI":"10.2118\/191428-18IHFT-MS"},{"key":"2025050614222392400_R20","first-page":"1225","article-title":"Evaluation of PDC bit ROP models and the effect of rock strength on model coefficients","volume":"34","author":"Soares","year":"2016","journal-title":""},{"key":"2025050614222392400_R6","doi-asserted-by":"crossref","unstructured":"Alqatrani, G., Britt, L. K., Otzen, G., Guzman, M., Kusanovic, G., and Dunn-Norman, S., 2016. A Statistical Approach to Fracture Optimization of the Glauconite Formation in Southern Chile. Presented at the SPE Asia Pacific Hydraulic Fracturing Conference, Beijing, China, 24-26 August. https:\/\/doi.org\/10.2118\/181864-ms.","DOI":"10.2118\/181864-MS"},{"key":"2025050614222392400_R19","doi-asserted-by":"crossref","unstructured":"Motahhari, H., Hareland, G., Nygaard, R., and Bond, B., 2007. Method of Optimizing Motor and Bit Performance for Maximum ROP. Presented at the Canadian International Petroleum Conference Calgary, Alberta, 12-14 June. https:\/\/doi.org\/10.2118\/2007-088.","DOI":"10.2118\/2007-088"},{"issue":"01","key":"2025050614222392400_R11","first-page":"42","article-title":"How to Improve Rate of Penetration in Field Operations","volume":"14","author":"Fear","year":"1999","journal-title":""},{"key":"2025050614222392400_R7","doi-asserted-by":"crossref","unstructured":"Amer, M. M., Dahab, A. S., and El-Sayed, A. H., 2017. An ROP Predictive Model in Nile Delta Area Using Artificial Neural Networks. Presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibitionhttps:\/\/doi.org\/10.2118\/187969-ms.","DOI":"10.2118\/187969-MS"},{"key":"2025050614222392400_R16","first-page":"71","article-title":"Rate of penetration (ROP) optimization in drilling with vibration control","volume":"67","author":"Hegde","year":"2019","journal-title":""},{"key":"2025050614222392400_R17","article-title":"Computers invade the rig floor","author":"Mechem","year":"1965","journal-title":""},{"key":"2025050614222392400_R1","doi-asserted-by":"crossref","unstructured":"Abbas, A. K., Alameedy, U., Alsaba, M., and Rushdi, S.\n          2018a. Wellbore Trajectory Optimization Using Rate of Penetration and Wellbore Stability Analysis. Presented at the SPE International Heavy Oil Conference and Exhibition, Kuwait City, Kuwait, 10-12 December. http:\/\/dx.doi.org\/10.2118\/193755-ms.","DOI":"10.2118\/193755-MS"},{"key":"2025050614222392400_R9","unstructured":"Elkatatny, S.M., Tariq, Z., Mahmoud, M.A., Al-Abdullabbar, A., 2017. Optimization of rate of penetration using artificial intelligent techniques. Presented at the 51st US Rock Mechanics \/ Geomechanics Symposium, San Francisco, California, USA, 25-28 June."},{"key":"2025050614222392400_R10","doi-asserted-by":"crossref","unstructured":"Eren, T., and Ozbayoglu, M. E., 2010. Real Time Optimization of Drilling Parameters during Drilling Operations. Presented at the SPE Oil and Gas India Conference and Exhibition, Mumbai, India, 20-22 January. http:\/\/dx.doi.org\/10.2118\/129126-ms.","DOI":"10.2118\/129126-MS"},{"issue":"11","key":"2025050614222392400_R3","first-page":"112904","article-title":"Drilling Rate of Penetration Prediction of High-Angled Wells Using Artificial Neural Networks","volume":"141","author":"Abbas","year":"2019","journal-title":""},{"issue":"04","key":"2025050614222392400_R8","first-page":"371","article-title":"A Multiple Regression Approach to Optimal Drilling and Abnormal Pressure Detection","volume":"14","author":"Bourgoyne","year":"1974","journal-title":""},{"key":"2025050614222392400_R14","first-page":"397","article-title":"Evaluation of coupled machine learning models for drilling optimization","volume":"56","author":"Hegde","year":"2018","journal-title":""},{"key":"2025050614222392400_R18","unstructured":"Mohammed, H. Q., Abbas, A. K., and Dahm, H. H., 2018. Wellbore Instability Analysis for Nahr Umr Formation in Southern Iraq. Presented at the 52nd US Rock Mechanics\/Geomechanics Symposium (ARMA), Seattle, Washington, June 17-20."},{"key":"2025050614222392400_R13","first-page":"327","article-title":"Use of machine learning and data analytics to increase drilling efficiency for nearby wells","volume":"40","author":"Hegde","year":"2017","journal-title":""},{"key":"2025050614222392400_R12","article-title":"Best Constant Weight and Rotary Speed for Rotary Rock Bits","author":"Galle","year":"1963","journal-title":""},{"key":"2025050614222392400_R2","doi-asserted-by":"crossref","unstructured":"Abbas, A. K., Rushdi, S. and Alsaba, M.\n          2018b. Modeling Rate of Penetration for Deviated Wells Using Artificial Neural NetworkPresented at the Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC), Abu Dhabi, UAE, 12-15 November. http:\/\/doi.org\/10.2118\/192875-ms.","DOI":"10.2118\/192875-MS"},{"issue":"4","key":"2025050614222392400_R4","article-title":"A Robust Rate of Penetration Model for Carbonate Formation","volume":"141","author":"Al-Abdullabbar","year":"2018","journal-title":""},{"key":"2025050614222392400_R15","first-page":"295","article-title":"Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models","volume":"159","author":"Hegde","year":"2017","journal-title":""}],"event":{"name":"International Petroleum Technology Conference","location":"Dhahran, Kingdom of Saudi Arabia","acronym":"20IPTC","start":{"date-parts":[[2020,1,13]]},"end":{"date-parts":[[2020,1,15]]}},"container-title":["International Petroleum Technology Conference"],"original-title":[],"link":[{"URL":"https:\/\/onepetro.org\/IPTCONF\/proceedings-pdf\/doi\/10.2523\/IPTC-19825-MS\/2311539\/iptc-19825-ms.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/onepetro.org\/IPTCONF\/proceedings-pdf\/doi\/10.2523\/IPTC-19825-MS\/2311539\/iptc-19825-ms.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T18:22:31Z","timestamp":1746555751000},"score":1,"resource":{"primary":{"URL":"https:\/\/onepetro.org\/IPTCONF\/proceedings\/20IPTC\/20IPTC\/D032S200R002\/154562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,13]]},"references-count":20,"URL":"https:\/\/doi.org\/10.2523\/iptc-19825-ms","relation":{},"subject":[],"published":{"date-parts":[[2020,1,13]]},"article-number":"D032S200R002"}}