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This work aims to construct different artificial intelligence models for predicting static Poisson\u2019s ratio of complex lithology at real time during drilling. The functional networks (FN) and random forest (RF) approaches were utilized using the mechanical drilling parameters as inputs. This study uses a vertical well with 1775 records from complex lithology containing shale, sand, and carbonate for model building. Besides, a different dataset from another well was used to check the models\u2019 validity. The results demonstrated that both FN\u2010 and RF\u2010based models predicted static Poisson\u2019s ratio with significant matching accuracy. The FN technique results\u2019 correlation coefficient (<jats:italic>R<\/jats:italic>) value of 0.89 and average absolute percentage error (AAPE) values of 10.23% and 10.28% in training and testing processes. While the RF technique is outperformed, as illustrated by the highest <jats:italic>R<\/jats:italic> values of 0.99 and 0.94 and the lowest AAPE values of 1.89% and 5.19% for training and testing processes, the robustness and reliability of the developed models were confirmed in the validation process with <jats:italic>R<\/jats:italic> values of 0.94 and 0.86 and AAPE values of 11.23% and 5.12% for FN\u2010 and RF\u2010based models, respectively. The constructed models developed a basis for inexpensive static Poisson\u2019s ratio prediction in real time with significant accuracy.<\/jats:p>","DOI":"10.1155\/2021\/9956128","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T01:35:08Z","timestamp":1620178508000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Applications of Artificial Intelligence for Static Poisson\u2019s Ratio Prediction While Drilling"],"prefix":"10.1155","volume":"2021","author":[{"given":"Ashraf","family":"Ahmed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7209-3715","authenticated-orcid":false,"given":"Salaheldin","family":"Elkatatny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Alsaihati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,4]]},"reference":[{"key":"e_1_2_12_1_2","volume-title":"Petroleum Related Rock Mechanics","author":"Fjar E.","year":"2008"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.2118\/10307-PA"},{"key":"e_1_2_12_3_2","doi-asserted-by":"crossref","unstructured":"KumarJ. 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