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Journal Articles
SPE Res Eval & Eng 24 (01): 262–274.
Paper Number: SPE-203838-PA
Published: 10 February 2021
... are generally not sampled in a representative manner; therefore, they are biased. The critical questions are: first, does spatial bias in training data result in a bias for machine-learning-based predictive models; and if there is a bias, how can we mitigate the bias in these spatial machine-learning-based...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 9–12, 2020
Paper Number: SPE-202742-MS
... are inconsistency and human bias in interpretation and as a result, interpretation may vary from one interpreter to the other. Authors have tested different ML techniques (Random Forest Classification & Neural Net) and smart way of data training. Final recommendation is to use nested models instead of single...
Proceedings Papers

Paper presented at the SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability, July 27–30, 2020
Paper Number: SPE-199469-MS
..., deliberative, logical, effortful, calculating, and conscious thoughts and actions (examples include planning maintenance work; building staging; or engineering equations). Cognitive biases create errors in judgement associated with both types of thinking ( Kahneman, 2011 ), and related bias training can...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216557
... and the target production data at inference time have a similar distribution, hypothesis that is often never verified when computing prediction. In this paper, we develop an approach to analyze and optimize a training data distribution in order to reduce its intrinsic bias and to enlarge its representativeness...
Journal Articles
Prof. Safety 64 (08): 26–30.
Paper Number: ASSE-19-08-26
Published: 01 August 2019
... identities at both interpersonal and structural levels, including regularly encountering biased behaviors and micro- aggressions from others, a lack of appropriate resources and inflexible policies that fail to address their particular needs. Understanding interpersonal dynamics is a powerful way to assess...
Proceedings Papers

Paper presented at the The 29th International Ocean and Polar Engineering Conference, June 16–21, 2019
Paper Number: ISOPE-I-19-171
... optimization. The thrust is obtained by pseudo-inverse method, and then the adaptive bias factor is determined according to the thrust to calculate the biasing. However, the adaptive biasing does not change in real time. For different thrust situations of different thrusters, excess energy loss is generated...
Proceedings Papers

Paper presented at the SPE/ICoTA Well Intervention Conference and Exhibition, March 26–27, 2019
Paper Number: SPE-194246-MS
... Abstract Pitting corrosion on the tubing ID has caused failures of CT strings in operations across every operating region, with unconventional plays in North America being especially affected. A localized coating that can be applied to the bias weldment has been developed to protect the most...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-070
..., 2008). Worth mentioning is also the possibility that biases result in policy for more political reasons. Buchanan and Tullock (1975), pioneered political economy perspectives when noticing that an established industrial firm and a regulator together may conclude with a biased approach, because tax...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 6–8, 2018
Paper Number: SPE-193521-MS
... models. In addition, simulations models also give non- unique solutions due to uncertainties in model parameters. However, the most often-ignored source of error in modelling results is model bias. As recognized in literature, biases affect not only technical aspects of decisions but also can affect...
Proceedings Papers

Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, June 20–22, 2018
Paper Number: ARMA-DFNE-18-1070
... that incorporate mapping biases (orientation, density, or persistence) will incorrectly represent the in-situ discontinuity network and affect any stability analyses incorporating such. Additionally, irrespective of mapping bias, any created DFN should, and at times, must, honor local structural domain spatial...
Proceedings Papers

Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-1100
... that the cracks all propagate in the direc- tion of angular bias, i.e., the original direction of microc- racks. The density of nucleated and propagated cracks is higher for the angular-biased fracture field; cf. Figure 15. This would have resulted from the direct numerical sim- ulation of the domains...
Proceedings Papers

Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-1269
... are limited to 1-D and are subject to geometric, truncation and censoring biases (Einstein and Baecher 1983, Mauldon, Dunne, and Rohrbaugh 2001, Hekmatnejad and Emery 2016). For this study, the Terzaghi, 1965 correction is performed to quantify the effect of orientation bias on fracture intensity (Kozubowski...
Journal Articles
J Pet Technol 69 (12): 64–65.
Paper Number: SPE-1217-0064-JPT
Published: 01 December 2017
... and Exhibition, San Antonio, Texas, USA, 8–11 October. The paper has not been peer reviewed. The complete paper holds the traditional facilities-planning methodologies, heavily based on design-basis documents and biased toward the most-conservative conditions, fail to recognize the entirety of operational...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–11, 2017
Paper Number: SPE-187283-MS
... Abstract The paper asserts that traditional Facilities planning methodologies, heavily based on Design Basis documents and biased towards the ‘most conservative conditions’, fail to recognize the entirety of operational conditions throughout the oilfield lifecycle, leading to significant...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–11, 2017
Paper Number: SPE-187402-MS
... as well as biased selection criteria. The latter bias experiments allowed some inference to be made as to the potentially large impact of management "decision" bias. Statistical results obtained from the synthetic and actual case histories suggest that sparse data "impact" may account for up to 10-25...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2670397-MS
... Reservoir Characterization hydraulic fracturing sensitivity annual meeting Upstream Oil & Gas strike-slip mechanism society of exploration geophysicists Rutledge frequency-magnitude distribution amplitude Artificial Intelligence mechanism observational bias surface array unconventional...
Journal Articles
SPE Econ & Mgmt 9 (02): 43–50.
Paper Number: SPE-185943-PA
Published: 06 March 2017
..., and exponentiating—leads to biased estimates of future production. The bias arises in the process of exponentiation. The direction and magnitude of exponentiation bias depend on three driver variables: the variance of the post-peak-production history; the number of post-peak observations on production...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 7–10, 2016
Paper Number: SPE-183438-MS
...-field projects, brown-field projects will not be discussed. Though over-design bias & its pitfalls apply globally to all sectors of the oil & gas industry, discussion will be focused around surface gas handling facilities (compressors mainly & brief references to pipelines, gas treatment...
Journal Articles
Oil & Gas Fac 5 (05).
Paper Number: SPE-179197-PA
Published: 24 October 2016
....) Tversky and Kahneman s famous paper Judgement Under Un- certainty: Heuristics and Biases (Tversky and Kahneman 1974) was the first systematic, scientific exploration of the ways in which intuition and cognitive bias can influence thinking and judgement. Since that first paper, a large number...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13528844
... and Vp/Vs are shown in Figure 3 for the upper sandstone. There is considerable scatter (uncertainty) as well as significant bias. These can be seen clearly in the difference histogram plots in Figure 3. Biases of 2.4% and 0.6% exist for P Impedance and Vp/Vs, respectively. Since the modelled uPDFs...

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