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Keywords: prediction
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Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-200023-MS
.... Abstract Reservoir simulation projects are ubiquitous across the oil and gas industry. A less common practice is retrospective validation of the accuracy and robustness of the original model's predictions. This paper highlights the importance of validating previous simulation work with field data in order...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199908-MS
... in northern Alberta have been used to build and validate a linear input-output model for the SAGD process which is parsimonious and the predictions should be fairly accurate for a period of approximately 72 months (6 years). The historical performance data for three different well-pads started at different...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199937-MS
... studies evaluated the type of scales collected from plugged sand screens; however, more investigation is required to address the reservoir conditions and wellbore hydraulics affecting the scaling potential of minerals at downhole conditions. A laboratory workflow combined with a predictive modeling...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189770-MS
... simulation Reservoir Characterization steam-assisted gravity drainage probability model PPM geological modeling SAGD Upstream Oil & Gas History realization geologically consistent history matching training image prediction hamdi geologic modeling Artificial Intelligence history matching...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184998-MS
... are relevant for the prediction of H 2 S production in the context of steam injection. bitumen enhanced recovery oil sand SAGD thermal method Modeling & Simulation compositional kinetic model prediction reservoir simulation ayache kinetic model rock conductivity Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184980-MS
... Abstract The steam-assisted gravity drainage (SAGD) method is an efficient way of producing oil from many of Canada's Oil Sands reservoirs. Predicting oil production and steam injection rates is required for planning and managing a SAGD operation. While this can be done by simulating the fluid...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184984-MS
... algorithm approach is adopted to perturb the shale indices until the difference between the target production history and the production history predicted from the AI model is minimized. A number of cases have been tested. The results show a good agreement between the shale barrier configurations predicted...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-185003-MS
..., the AARD for the initial data set increased by only a modest amount to 27.7%. The disagreements were somewhat larger when the new method was used to make pure predictions of two published data sets. Accordingly, it was concluded that the new approach can be used to make reasonable predictions (possibly...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184964-MS
... of limited number of network elements, ignoring the resistance of pore elements, multi-scale structures, and tight/weak connections represented by an inadequate number of voxels. Pore network extraction negatively affects the accuracy of petrophysical predictions and ignores solid matrix and its thermal...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, June 7–9, 2016
Paper Number: SPE-180715-MS
..., with a focus on the production rate and the steam-oil ratio (SOR). Then the trained AI proxy model was used to predict SAGD production profiles for scenarios where the shale barriers were distributed stochastically. The results of these predictions were compared with the results of the SAGD simulation model...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, June 9–11, 2015
Paper Number: SPE-174460-MS
... neural network (ANN) is employed to facilitate the production performance analysis. Predicting (input) variables that are descriptive of reservoir heterogeneities and operating constraints, including log-derived petrophysical parameters, dimensionless shale index, effective numbers of producers...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170002-MS
... o d x m d t ,    t < t b (2) Oil production rate of a convex parabola-shaped steam chamber In our research, we propose a new analytical model for predicting steam chamber development process and SAGD production performance. There are three main...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170144-MS
... of such large amount of data would be a formidable task. Therefore, it is important to identify a description of all pertinent predicting parameters (geologic, fluid, and operating) in relation to SAGD performance prediction. Exploratory data analysis (EDA) refers to a group of statistical techniques useful...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170140-MS
... questionable. Two different functionalities of critical temperature and temperature have been studied to predict solvent solubility data. The saturated bitumen density is also modeled via volume shift techniques and a correlation for volume shift as a function of molecular weight and reduced temperature...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170113-MS
... of machine learning methods for system forecast, provide an attractive alternative. In this paper, artificial neural network (ANN) is employed to predict SAGD production in heterogeneous reservoirs, an important application that is lacking in existing literature. Numerical flow simulations are performed...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170100-MS
... solubility of water in the L phase can affect oil recovery mechanisms in steam injection. Luo and Barrufet (2005) used a compositional thermal simulator to show that oil recovery in steam injection was predicted to be more efficient when x wL was considered. This was primarily because the water...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170101-MS
... that relate input (predicting) attributes describing reservoir/fluid/operational variables to output (target) attributes representing recovery performance ( Amirian et al. 2013 ; 2014; Ma et al. 2014 ). Input attributes that are readily derived from data including well logs are crucial in any practical...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170085-MS
...-dependent proxy model for each type of production data. – Testing: Generate L combinations of operational parameters that are not part of the original Latin Hypercube design. Predict the production output for each new combination of operational parameters by using the corresponding proxy...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170057-MS
... with the characterization scheme of treating heavy oil as a single pseudocomponent, the absolute average relative deviation (AARD) for the predicted saturation pressures can be improved from 5.27% to 4.56% by characterizing the heavy oil as six pseudocomponents. With the optimum BIPs, the swelling factors are predicted...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170190-MS
... mixture solvent weight fraction Alberta Weight Fraction fraction enhanced recovery concentration prediction bitumen different temperature bitumen mixture phase behaviour Canada pentane heavy oil Steam-assisted gravity drainage (SAGD) is a promising method for producing heavy oil...

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