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Keywords: prediction
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Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192186-MS
..., and formation strength. Previous models of ROP did not include the effect of the change in rock mechanics on the ROP prediction. Several models were developed based on a regression that is limited to the rock type and drilling conditions. The objective of this paper is to apply the self-adaptive differential...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192193-MS
... correlations. In this study, artificial intelligence techniques were used to estimate the cutting concentration in the wellbore. The purpose of this study is to use Support Vector Machine (SVM) technique to indirectly measure the hole cleaning efficiency by predicting the cutting concentration in the wellbore...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192199-MS
... tried to introduce models that allow for the prediction of the apparent viscosity from the Marsh funnel viscosity. However, these models have the deficiency that the prediction is with high errors. For the first time, the solid percent was used to predict the rheological properties of the oil-based...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192194-MS
... compositions and relative permeability data for the data set used in this study. Data collected from reservoir simulation cases are used to construct two Artificial Neural Network (ANN) based proxy models. Namely, a proxy for performance prediction that utilizes specific injection design parameters to predict...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192220-MS
... ( d g d g , o ) γ i β i And cumulative function of P(dg) Abstract This paper presents an experimental study to test and validate a technique of predicting rock grain size distribution (GSD) from nuclear magnetic resonance (NMR) measurements and digital rock...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192184-MS
... significantly outperforms all other existing models and delivers the predictions with high accuracy. A small average absolute percentage error of less than 2% was found with new proposed empirical correlation, while comparing the existing published correlations on the same data gives more than 15% error...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192273-MS
... Abstract The Inflow Performance relationship is considered one of the diagnostic tools used by Petroleum engineers to evaluate the performance of a flowing well. An accurate prediction of well IPR is very important to determine the optimum production scheme, design production equipment...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192343-MS
... for the drilling performance per field and set certain benchmarks to gauge the speed of any newly drilled well. To date, no solid or reliable model exists because of the complexity of the drilling process, and one cannot capture every factor to predict the rate of penetration. Therefore, the utilization...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192344-MS
... ( Glasbergen et al. 2009 ). In fact, most of the carbonate acidizing work is to find the optimum injection rate ( Mahrous et al. 2017 ). Several researchers have developed mathematical models to predict the optimum injection rate for carbonate rocks utilizing different parameters in their predictions. The most...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192340-MS
... of a wellbore, a constitutive model is required to estimate the stresses around the wellbore coupled with a failure criterion to predict the ultimate strength of reservoir rocks. The Mohr-Coulomb failure criterion is one of the commonly accepted criteria for rock strength estimation at a given state of stress...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192356-MS
... ). Abstract Acidizing joint hydraulic fracturing is a widely used technique to increase the fracture conductivity in carbonate reservoirs stimulation. Predicting acid fracturing performance for optimum fracturing job design requires a detailed understanding of acid-rock reactions, rock strength...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192321-MS
... to produce the most optimum model, which resulted in explaining around 99% of variability in the data and produced an AAPE of only 2.4%. However, the ANFIS model predicted oil rates with an inconsistency in the range of 40 bpd. After running support vector machine model and testing it on unseen data...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192316-MS
.... Artificial Intelligence Abstract Rate of penetration (ROP) is the main function that affects drilling operation economically and efficiently. Many theoretical models reported in the literature were produced to predict ROP based on different parameters. Most of these models used only drilling...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192317-MS
... empirical models reported in the literature were used to calculate the fracture pressure based on different parameters. Most of these models used only formation and rock properties to estimate fracture pressure. Other models predicted the fracture pressure based on log data using a few real field data...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192307-MS
... in prediction mode with the shale affected log data as inputs. A comprehensive numerical and illustrative evaluation of the claimed accuracy is shown along with the error analysis between both the machine learning techniques used. machine learning fuzzy logic log analysis correlation neural network...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192251-MS
... neural network drillstring design Artificial Intelligence Elkatatny Upstream Oil & Gas drilling parameter Exhibition ROP torque prediction mechanical specific energy MSE penetration machine learning drilling operation drilling performance artificial neural network drilling...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192318-MS
... to reduce the cost of the drilling process. Many empirical models reported in the literature were used to calculate the formation pressure based on different parameters. Some of these models used only drilling parameters to estimate pore pressure. Other models predicted the formation pressure based on log...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192252-MS
... a reliable model to predict the MMP during CO 2 flooding. Actual case studies for flooding heterogeneous and anisotropic reservoir were utilized to generate the MMP model, more than 140 data points were used to construct and evaluate the proposed model. Several artificial intelligence techniques were...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192246-MS
... model FNBEM, forward backward model FNFBM and backward forward model FNBFM. Then based on correlation coefficient R and average absolute percentage error AAPE, a comparison was made and the one which performed better was selected for prediction of sonic wave transit times. The novelty of this work...
Proceedings Papers

Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192282-MS
... neural network Exhibition fuzzy logic dht technology Artificial Intelligence deepwater drilling machine learning Upstream Oil & Gas prediction formation pressure Drilling operation drilling operation fuzzy inference system downhole tool evaluate equivalent correlation...

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