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Keywords: algorithm
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Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21821-MS
... parameter and all the available input parameters. Then, a machine learning model is developed to predict the well productivity for a given set of input parameters accurately. The model is validated by using separate data-sets from the same field. An optimize algorithm is combined with the data-driven model...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21312-MS
... highlighted. It also describes the significant challenges that AI presents in the oil industry including algorithmic bias, cybersecurity, and trust. With digital transformation poised to re-invent the oil & gas industry, the paper also discusses energy transition, and makes some bold predictions about the...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21356-MS
... development and improvement of artificial intelligence or machine learning algorithms, their applications in the oilfield have become more and more extensive. This paper proposed a method for predicting crude oil physical properties based on machine learning algorithms. This method uses PVT data from nearly...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21366-MS
... gyroscope measurements can be used to improve the toolface measurement and a schematic of this modified algorithm is shown in Fig. 7 Figure 7 Algorithm to determine toolface from accelerometer and gyroscope Abstract Reliable toolface calculation is essential for achieving robust automatic...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21350-MS
..., whereas fracture dominant flow regime is often observed for a longer period in unconventional hydraulically fractured reservoirs. Therefore, to resolve this issue, oil & gas industry (O&G) can adopt AI (Artificial Intelligence) based Algorithms for production forecasting. This paper presents a...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21436-MS
... showing an excellent overall match. On the ML technique, the "Random Forests" technique will be utilized due to recognized as one of the most recent ML algorithm(s) developed as an innovative technique based on both classifications and regression trees techniques. The Random Forests technique has shown...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21426-MS
.... Personnel carries the client device which collects location-related information and sends it to the localization algorithm in the cloud. When the personnel moves, the tracking dashboard shows client location in real-time. The proposed localization algorithm relies on wireless signal fingerprinting and...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21202-MS
.... Develop algorithm and input into the machine learning model to evaluate the existing real time database from PI then predict the residual life of the battery and TEG for a future spare part plan and replacement. Forecast the battery Depth of Discharge (DoD) and evaluate real-time remaining battery...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21161-MS
... large data and AI algorithm. This method has been applied to many high water flooding phase permeability curves, and the coincidence rate is more than 95.6%. The new water drive characteristic curve can better reflect the percolation characteristics of high water cut reservoirs. At the same time, the...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21164-MS
... scaling method upstream oil & gas machine learning local region reservoir simulation flow in porous media accuracy ml-assisted realization machine learning algorithm artificial intelligence fluid dynamics upscaled function algorithm international petroleum technology conference...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21249-MS
..., such as coherency ( Marfurt et al., 1998 ) and curvature ( Al-Dossary et al., 2006 ) are used to detect faults. Recently, machine learning methods, such as convolution neural networks (CNNs) are used to detect faults, by applying various semantic segmentation algorithms to the seismic data ( Wu et al...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21251-MS
.... Ghosh , 2013 , Extending the seismic bandwidth through the logarithm of the Short Gate Fourier Transform : Geophysical Prospecting . Sajid , M. , D. P. Ghosh , and M. Shahzad , 2014a , Non-stationary 1D Thin Bed Model for Non-stationary Frequency Bandwidth Expansion Algorithms...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, March 23–April 1, 2021
Paper Number: IPTC-21252-MS
... machine learning with algorithms that will achieve the automation through digitizing and standardizing over a cognitive environment. There are several key pillars to get the digital transformation journey successfully and smoothly happening from my experience in the field operations, engineering...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19621-Abstract
... technique is presented, which is able to manage big datasets to automatically match the production models and propose an operative solution that maximizes the production. The tool is based on a hybrid in-house developed AI technique, integrating deep neural networks, biogenetical algorithms, commercial...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19709-MS
... Well-control management is nowadays frequently approached by means of mathematical optimization. However, in many practical situations the optimization algorithms used are still computationally expensive. In this paper we present Progressive Optimization (PO), a simulator-nonintrusive four...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19662-ABSTRACT
... real time system Upstream Oil & Gas maintenance machine learning predictive maintenance prediction application reliability Work Order mt ecosystem Schlumberger remote monitoring team Saudi Arabia Well Service international petroleum technology conference mtecosystem algorithm...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19701-MS
... AI algorithms has been trained to recognize five different lithology-fluid patterns of interest: Claystone, Sandstone-Oil, Sandstone-Gas, Sandstone-Water and Limestone-Water. Training and validation phases have been run against data from more than 20 different wells. Data gathered consisted of few...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19804-Abstract
..., multi-input, multi-output classification CNNs. Combined, these networks produced more accurate results than their multi-category counterparts, with accuracy over 87% on test wells. Using the computed metrics (recall, precision) of these single networks, a confidence curve of the overall algorithm is...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19787-MS
... Upstream Oil & Gas rhob value artificial neural network fuzzy logic drilling mechanical parameter AAPE log analysis neural network RHOB predict formation bulk density international petroleum technology conference algorithm ANN model synthetic well-log generation annbased model anfis...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19865-MS
... rates of a well without the need to separate the phases. Therefore, procedures for measure quality assessment are of crucial importance. In this work it is proposed an Anomaly Detection approach for MPFM based on unsupervised Machine Learning algorithms. It is effectively able to handle the complexity...

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