Eric Van Oort

Dr. Eric Van Oort

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
OEOney Erge
Oney Erge
EOEric Van Oort
Eric Van Oort

1 February 2019 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
SESaeid Enayatpour
Saeid Enayatpour
EOEric Van Oort
Eric Van Oort
TPTadeusz Patzek
Tadeusz Patzek

1 July 2020 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
OEOney Erge
Oney Erge
EOEric Van Oort
Eric Van Oort

8 September 2022 in Energies
Verified
Journal Article
Open access
PDF file
GSGurtej Singh Saini
Gurtej Singh Saini
AFAmirHossein Fallah
AmirHossein Fallah
PAPradeepkumar Ashok
Pradeepkumar Ashok
EOEric Van Oort
Eric Van Oort
Well construction is a complex multi-step process that requires decision-making at every step. These decisions, currently made by humans, are inadvertently influenced by past experiences and human factor issues, such as the situational awareness of the decision-maker. This human bias often results in operational inefficiencies or safety and environmental issues. While there are approaches and tools to monitor well construction operations, there are none that evaluate potential action sequences and scenarios and select the best possible sequence of actions. This paper defines a generalized iterative methodology for setting up a digital twin to address this shortcoming. Depending on its application, the objectives and constraints around the twin are formulated. The digital twin is then built using a cyclical process of defining the required outputs, identifying and integrating the necessary process models, and aggregating the required data streams. The twin is set up such that it is predictive in nature, thus enabling scenario analysis. The method is demonstrated here by setting up twinning systems for two different categories of problems. First, an integrated multi-model twin to replicate borehole cleaning operations for stuck-pipe prevention is developed and tested. Second, the creation, implementation, and testing of a twinning system for assisting with operational planning and logistics is demonstrated by considering the time it takes to drill a well to total depth (TD). These twins are also used to simulate multiple future scenarios to quantify the effects of different actions on eventual outcomes. Such systems can help improve operational performance by allowing more informed human, as well as automated, decision-making. Development of a system for well construction operations that integrates multiple sources of information with process and equipment models to quantify the system state and analyzes different scenarios by evaluating action sequences is a novel contribution of this paper. The approach presented here can be applied to the construction of digital twins for any well construction operation.

1 January 2020 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
SGSercan Gul
Sercan Gul
OEOney Erge
Oney Erge
EOEric Van Oort
Eric Van Oort

13 March 2023 in SPE Drilling & Completion
Verified
Journal Article
Closed access
PDF file
MKMohamed Shafik Khaled
Mohamed Shafik Khaled
NWNingyu Wang
Ningyu Wang
PAPradeepkumar Ashok
Pradeepkumar Ashok
DCDongmei Chen
Dongmei Chen
EOEric Van Oort
Eric Van Oort
Summary: High bottomhole temperature can lead to decreased downhole tool life in geothermal and high-pressure/high-temperature (HPHT) oil and gas wells. The temperature increase is exacerbated when circulation stops (e.g., during connection, tripping, and well control situations). While continuous circulation technology is an appropriate solution for managing temperature, it is not yet widely adopted in HPHT and geothermal drilling practices. This work investigates factors that impact downhole temperature (DHT) and recommends strategies to better manage the temperature when continuous circulation is not available. An integrated thermo-hydraulic model was developed to capture the transient behavior of DHT and was applied here to study the transient temperature profile when there is no fluid circulation. The model was validated using the open-source FORGE field data set, with the mean absolute percentage error between 1% and 4%. In addition, hundreds of case scenarios were numerically studied to investigate the impact of several key factors on the DHT. The evaluated factors include the pumps-off time, type and physical properties of the drilling fluid, wellbore hydraulic diameter, reservoir temperature, geothermal gradient, total wellbore depth and profile, and operational parameters before stopping the circulation. The cooling effects of different drilling parameters were compared to a benchmark case of continuous circulation. A correlation map was generated to visualize the impact of those parameters on the DHT distribution when circulation stops. A logarithmic relationship between the pump stop time and the DHT was observed. For the FORGE case scenario, the DHT increases by 27°C and 48°C after the pump stops for 30 minutes and 60 minutes, respectively. It was observed that water-based mud (WBM) with a high viscosity increases fluid convection heat resistance between the formation and wellbore. Also, drilling with a higher flow rate before stopping the pump can cool the near-wellbore formation faster and reduce the DHT even after circulation ceases. Wells with high geothermal gradients, like FORGE wells, have a higher temperature buildup during circulation stoppage than wells with low geothermal gradients targeting the same reservoir (formation) in-situ temperature. This study investigates the efficacy of different cooling strategies to avoid DHT buildup when there is no circulation. It thereby facilitates the optimization of geothermal and HPHT well design and construction to prevent downhole tool failures. The developed correlation map can aid drilling engineers in understanding the impact of different drilling conditions on the DHT.