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Keywords: outlier
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205906-MS
... monitoring pressure transient testing decline parameter production data production control complex reservoir well performance reservoir surveillance upstream oil & gas spe annual technical conference outlier early time performance mfhw multiple diagnostic plot unconventional reservoir log...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201295-MS
... deviation) of each signal, and its derivative. These features, and not mean and standard deviation, since they are much more robust to the presence of outliers. The velocity computed cross correlating the sensor measurements was also considered in this work. Some anomalies are present in every...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201404-MS
... experienced evaluator. It is fact to state that the current algorithms used in the industry often amplify noise and are inherently unstable in the presence of outliers. This work proposes to significantly improve data processing using modern algorithms for data filtering and statistical (Bayesian) methods...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191721-MS
... using DAS requires robust modelling, which can cater for occasional DAS noise spikes due to choke changes or shut-ins, as well as disturbances to the DAS box or exposed sections of the fibre. Such outliers in the recorded FBE present a challenge when calibrating any predictive flow model and can...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191435-MS
.... Similar to RPCA, ROLSR is less sensitive to outliers in the dataset identified by the ROLSR and excluded from the PCA scores. The asymptote of the fit-to-PCA scores ( Eq. 1 ) is obtained when accumulated volume, v , is infinitely large. Fig. 2 shows an example score of the PC1 and its fit for a dataset...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–28, 2016
Paper Number: SPE-181382-MS
... neural network society of petroleum engineers outlier ROP optimization complex relationship training data best model random forest decision tree The complexities of wellbore have resulted in an increase of well cost. Consequently, it is more important than ever to optimize and achieve...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-175003-MS
... pressure transient testing GLM likelihood maximization machine learning Upstream Oil & Gas Gaussian distribution convergence outlier assumption probability density function dataset 18 Drillstem Testing objective function model parameter iteration measurement error estimation histogram...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 27–29, 2014
Paper Number: SPE-170866-MS
... Testing Upstream Oil & Gas Simulation input parameter outlier estimation Reservoir Surveillance neural network drillstem/well testing flow rate training data production rate decision tree water rate information MLR algorithm neuron Head Pressure variation prediction probability...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2013
Paper Number: SPE-166323-MS
... increased the NPV of the wells by 25% relative to conventional ceramic proppant, and the incremental cost of the treatment was paid back in 3 to 4 months. hydraulic fracturing cumulative production machine learning proppant ceramic proppant oil production well pair particle outlier artificial...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2013
Paper Number: SPE-166440-MS
... of the prediction results and the effectiveness of the method. Abstract The paper describes a method of analyzing data from permanent downhole gauges, even in the presence of noise, gaps and outliers. The data mining approach developed allows for the revelation of the underlying data signal, and as a useful...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 19–22, 2010
Paper Number: SPE-135606-MS
... absolute value ambiguity confidence interval drillstem testing transformation cartesian transformation dastan iteration objective function wavelet transform upstream oil & gas narrow confidence interval outlier Nonlinear regression was introduced to well testing in the 1970s...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–12, 2005
Paper Number: SPE-96895-MS
... data. All the steps of the procedure, namely outliers removal, denoising, transient identification, and data reduction were applied both to synthetic and real pressure recordings. Results indicated that the application of the proposed approach allows identification of the actual reservoir response...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–29, 2004
Paper Number: SPE-90267-MS
... spatial outlier detection methods are discussed. All these methods are different for identifying spatially abnormal data, both in mechanisms and results. This paper discusses these methods and compares their advantages and disadvantages. The effectiveness of these methods is evaluated by using a real...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–29, 2004
Paper Number: SPE-90372-MS
... society of petroleum engineers reservoir application outlier information expert system quality control upstream oil & gas artificial intelligence input parameter automation optimization deviation data mining surveillance time increment schlumberger information solutions...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 5–8, 2003
Paper Number: SPE-84174-MS
... & gas historical record risk probability procedure historical data natural log intensity probability well control press well artificial intelligence wellbore radius stochastic approach permeability tolerance assessment spe 84174 equation outlier determination annular pressure...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 4–7, 1992
Paper Number: SPE-24732-MS
... decreased if the data contains outliers; i.e., measured data whose behavior is significantly different from the "average" behavior of the data set. In this work, we focus on practical methods of applying the nonlinear regression to the analysis of pressure transient data. Our aim is to provide procedures...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 6–9, 1991
Paper Number: SPE-22813-MS
... installation and operations gun system charge performance shot density section society of petroleum engineers api rp-43 section 1 perforator outlier concrete target hole size development test upstream oil & gas system test SPE Society of Petroleum Engineers SPE 22813 Improved System Test...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 2–5, 1988
Paper Number: SPE-18127-MS
... curves. The probability of finding the exact displacement as well as probability of finding the exact displacement as well as the distribution of displacement error was computed. P. 227 outlier displacement similarity measure society of petroleum engineers accuracy log analysis machine...

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