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Decision tree

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Proceedings Papers

Paper presented at the IADC/SPE International Drilling Conference and Exhibition, March 8–10, 2022
Paper Number: SPE-208717-MS
... developed a concise decision tree to better enable the Driller and MPD Operator's response to a potential influx. Certain steps need to be taken quickly by both members to limit influx size and stay within the agreed MPD Operations Matrix. Depending on influx size, water depth and well depth, further...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, February 21–23, 2022
Paper Number: IPTC-22394-MS
..., the framework uses a decision tree model, specifically a regression tree, to estimate the CO 2 saturation front map based on the training data. The framework tests four types of regression trees in which each tree has a different minimum leaf size. The framework was tested on synthetic deep measurement data...
Journal Articles
J Pet Technol 73 (11): 75–76.
Paper Number: SPE-1121-0075-JPT
Published: 01 November 2021
...Chris Carpenter This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 203448, “Decision-Tree Regressions for Estimating Liquid Holdup in Two-Phase Gas/Liquid Flows,” by Meshal Almashan, SPE, Yoshiaki Narusue, and Hiroyuki Morikawa, University of Tokyo...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 2–4, 2021
Paper Number: SPE-207185-MS
... by excessive hydrostatic pressure, sufficient to fracture the formation or expand existing fractures encountered during the drilling process. In this study, we deployed Python codes of Support Vector Machine (SVM) and Decision Tree (DT) methodsto categorical data obtained from drilling operations...
Proceedings Papers

Paper presented at the The 31st International Ocean and Polar Engineering Conference, June 20–25, 2021
Paper Number: ISOPE-I-21-1145
... Experimental Platform Based on Decision Tree Dexin Shen, Hongming Wu, Guannan Shi, Guohua Xu National Engineering Laboratory of Offshore Engineering Equipment Testing Technology, School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Hubei Key Laboratory of Naval...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200844-MS
... calculations were conducted. The costs of three types of loss treatments (partial, severe, and complete) were handled separately since some treatments of severe, and all treatments of complete losses have to be introducing through open end drill pipe (OEDP). Expected monetary value (EMV) and decision tree...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 9–12, 2020
Paper Number: SPE-203448-MS
... compared to the existing empirical correlations. However, these approaches ignored the heuristic feature importance of the input parameters to the predicted H L values. In our study, a machine learning predictive model, boosted decision tree regression (BDTR), is trained, tested and evaluated...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 29–31, 2019
Paper Number: SPE-196453-MS
... in modeling. The proposed model predicts the bubble point pressure ( P b ) and the oil formation volume factor at bubble point pressure ( B ob ) as a function of oil and gas specific gravity, solution gas-oil ratio, and reservoir temperature by a boosted decision tree regression (BDTR) predictive modeling...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-4314
...ABSTRACT ABSTRACT Decision tree, as an important data mining method in the field of data mining, has been widely used in the field of state monitoring and fault diagnosis of industrial key equipment at home and abroad, mainly reflected in two aspects of diagnosis decision and state recognition...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 11–14, 2019
Paper Number: SPE-197391-MS
... and time-consuming experimental determination and the limited empirical correlations for estimating the reservoir fluid properties. In many situations, the PVT properties report may include some missing data that would limit the functionality of the empirical correlations. In this study, a decision tree...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 11–14, 2019
Paper Number: SPE-197762-MS
... of the accumulated data limit the capability of existing analysis software to load and interpret data. This paper presents an improved methodology for data quality checking and data optimization in determining reservoir pressure depletion via Autoregressive Integrated Moving Average (ARIMA) and Decision Tree Model...
Proceedings Papers

Paper presented at the SPE Middle East Oil and Gas Show and Conference, March 18–21, 2019
Paper Number: SPE-194795-MS
... it is impossible to draw decision trees for all scenarios. That is when computer programming has to be used to find the EMV for each scenario. Thus, if there are a few scenarios, a tree can be plotted for each scenario to find EMV. But if there are thousands of scenarios, a generalized equation can be obtained...
Proceedings Papers

Paper presented at the SPE Middle East Oil and Gas Show and Conference, March 18–21, 2019
Paper Number: SPE-194956-MS
..., and optimize the maintenance intervals of casing. In this paper, we proposed a casing damage prediction method based on principal component analysis (PCA) and gradient boosting decision tree (GBDT) algorithm. Building a three-nodes Spark big data platform, we tested our proposed method on a dataset in an oil...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, July 31–August 2, 2017
Paper Number: SPE-189171-MS
..., the appraisal strategy for the discrete elements was integrated and designed utilizing decision tree analysis. The appraisal strategy was developed for the immature subsurface elements, consisting of a variety of appraisal methods, each cost effectively geared towards fit for purpose data acquisition...
Proceedings Papers

Paper presented at the SPE Artificial Lift Conference-Americas, May 21–22, 2013
Paper Number: SPE-165055-MS
... thanks to implementation of better and safe practices and minimum operational non-conformances in oil wells where sand production is the problem and dual (PC) pumps are used as an effective solution. artificial lift system decision tree learning information machine learning Upstream Oil...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, September 24–25, 2012
Paper Number: SPE-162883-MS
... software tools, few of which can communicate with each other. Depending upon the project and the company, commercial analysts may use single cases, scenarios, decision trees, best estimates or risk weighted analysis combined into a composite case. Few, if any, have moved their project analysis to a fully...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 23–25, 2012
Paper Number: SPE-152446-MS
.... Introduction production monitoring borehole imaging machine learning artificial intelligence reservoir surveillance spe 152446 sultanate resistivity production control decision tree learning oil-base mud tight gas reservoir high-definition imager upstream oil & gas resistivity interval...
Proceedings Papers

Paper presented at the SPE Middle East Oil and Gas Show and Conference, March 11–14, 2007
Paper Number: SPE-105015-MS
... ) = ( 0.66     t o   0.86 )   x   0.91 = ( 0.6   t o   0.8 ) Shortcuts are highly reliable indicators of fracture corridors. Decision Tree Threshold values and conditional probability values are the basis of the present fracture analysis are used extensively...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–27, 2006
Paper Number: SPE-103178-MS
... and the implementation of our version of the Longstaff-Schwartz method. We show the results of the preliminary computations that we did for our example. We lay out plans for some of the future work to be done. Artificial Intelligence oil sand decision tree learning risk adjustment asset manager bitumen...
Proceedings Papers

Paper presented at the CORROSION 2005, April 3–7, 2005
Paper Number: NACE-05479
... introduces a data mining methodology, a decision tree approach, for identification of the correlation between the presence of SCC and environmental/ loading conditions and further refinement of SCC susceptibility with mechanistic understanding. INTRODUCTION Stress corrosion cracking (SCC) on pipelines...

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