Impact of a new geological modelling method on the enhancement of the CO<sub>2</sub> storage assessment of E sequence of Nam Vang field, offshore Vietnam

Thanh, Hung Vo; Sugai, Yuichi; Sasaki, Kyuro

doi:10.1080/15567036.2019.1604865

Cited by 51 publications

(24 citation statements)

References 20 publications

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“…Furthermore, this modeling technique provides the target reservoir's better manner, such as faults, sub-layers, and the amount of oil reserves in the field (Mike 2009). Moreover, 3D geo-cellular modeling was used to develop a new method by integrating artificial neural networks (ANNs) and geostatistical methods for static and dynamic CO 2 storage in the Nam Vang field, offshore Vietnam (Thanh et al 2020). Therefore, this study adopts 3D geo-cellular modeling to explore the oil reserve in one of the marginal fields in offshore Vietnam.…”

Section: Introductionmentioning

confidence: 99%

“…The present geological model aims to gather all available data to build a comprehensive geostatic representation of the Lower Oligocene reservoirs for a marginal field in offshore Vietnam. For the study, the marginal field was divided into two main zones based on two defined reservoir units (Thanh et al 2020). They are zone E10 from top E10 to base E10 and zone E20 from top E20 to base E20.…”

Section: Introductionmentioning

confidence: 99%

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3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

Thanh

Lee

2021

J Petrol Explor Prod Technol

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This study focuses on constructing a 3D geo-cellular model by using well-log data and other geological information to enable a deep investigation of the reservoir characteristics and estimation of the hydrocarbon potential in the clastic reservoir of the marginal field in offshore Vietnam. In this study, Petrel software was adopted for geostatistical modeling. First, a sequential indicator simulation (SIS) was adopted for facies modeling. Next, sequential Gaussian simulation (SGS) and co-kriging approaches were utilized for petrophysical modeling. Furthermore, the results of the petrophysical models were verified by a quality control process before determining the in-place oil for each reservoir in the field. Multiple geological realizations were generated to reduce the geological uncertainty of the model assessment for the facies and porosity model. The most consistent one would then be the best candidate for further evaluation. The porosity distribution ranged from 9 to 22%. The original oil place of clastic reservoirs in the marginal field was 50.28 MMbbl. Ultimately, this research found that the marginal field could be considered a potential candidate for future oil and gas development in offshore Vietnam.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

Thanh

Lee

2021

J Petrol Explor Prod Technol

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“…Finally, in order to improve the accuracy of fluid identification, we verified the practicability of plates by comparing the results of plate identification with the perforation test results. Considering the effect of changes in formation salinity, the modified resistivity-porosity cross plot method is established, combined with linear interpolation, which can effectively improve the fluid identification accuracy [18,19]. Figure 1…”

Section: Introductionmentioning

confidence: 99%

Using the Modified Resistivity–Porosity Cross Plot Method to Identify Formation Fluid Types in Tight Sandstone with Variable Water Salinity

Yang

Wang

et al. 2021

Energies

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It is generally difficult to identify fluid types in low-porosity and low-permeability reservoirs, and the Chang 8 Member in the Ordos Basin is a typical example. In the Chang 8 Member of Yanchang Formation in the Zhenyuan area of Ordos Basin, affected by lithology and physical properties, the resistivity of the oil layer and water layer are close, which brings great difficulties to fluid type identification. In this paper, we first analyzed the geological and petrophysical characteristics of the study area, and found that high clay content is one of the reasons for the low-resistivity oil pay layer. Then, the formation water types and characteristics of formation water salinity were studied. The water type was mainly CaCl2, and formation water salinity had a great difference in the study area ranging from 7510 ppm to 72,590 ppm, which is the main cause of the low-resistivity oil pay layer. According to the reservoir fluid logging response characteristics, the water saturation boundary of the oil layer, oil–water layer and water layer were determined to be 30%, 65% and 80%, respectively. We modified the traditional resistivity–porosity cross plot method based on Archie’s equations, and established three basic plates with variable formation water salinity, respectively. The above method was used to identify the fluid types of the reservoirs, and the application results indicate that the modified method agrees well with the perforation test data, which can effectively improve the accuracy of fluid identification. The accuracy of the plate is 88.1%. The findings of this study can help for a better understanding of fluid identification and formation evaluation.

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“…These scholars suggested that modeling method choosing is as important as selection model factors, as both can affect the estimation of pore volumes (Nguyen et al 2017b). Regarding the porosity and permeability properties are commonly distributed using stochastic pixel-based methods while the modeled values are conditioned to a well dataset (Vo Thanh et al 2019b). Several methods for continuous petrophysical property modeling were proposed to maintain the geostatistical information and correlation between primary and secondary parameters (Pyrcz and Deutsch 2014).…”

Section: Introductionmentioning

confidence: 99%

Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen

AlRassas

Thanh

Ren

et al. 2021

Preprint

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Carbon dioxide (CO2) capture and storage (CCS) is presented as an alternative measure and promising approach to mitigate the large-scale anthropogenic CO2 emission into the atmosphere. In this context, CO2 sequestration into depleted oil reservoirs is a practical approach as it boosts the oil recovery and facilitates the permanent storing of CO2 into the candidate sites. However, the estimation of CO2 storage capacity in subsurfaces is a challenge to kick-start CCS worldwide. Thus, this paper proposes an integrated static and dynamic modeling framework to tackle the challenge of CO2 storage capacity in a clastic reservoir, S1A filed, Masila basin, Yemen. To achieve this work's ultimate goal, the geostatistical modeling was integrated with open-source code (MRST-CO2lab) for reducing the uncertainty assessment of CO2 storage capacity. Also, there is a significant difference between static and dynamic CO2 storage capacity. The static CO2 storage capacity varies from 4.54 to 81.98 million tons, while the dynamic CO2 simulation is estimated from 4.95 to 17.92 million tons. Based on the geological uncertainty assessment of three ranked realizations (P10, P50, P90), our work was found that the upper Qinshn sequence could store 15.64 Million tons without leakage. This result demonstrates that the potential of CO2 utilization is not only in this specific reservoir, but the further CO2 storage for the other clastics reservoirs is promising in the Masila Basin, Yemen.

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Impact of a new geological modelling method on the enhancement of the CO₂ storage assessment of E sequence of Nam Vang field, offshore Vietnam

Cited by 51 publications

References 20 publications

3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

Using the Modified Resistivity–Porosity Cross Plot Method to Identify Formation Fluid Types in Tight Sandstone with Variable Water Salinity

Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen

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Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam

Cited by 51 publications

References 20 publications

3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam

Using the Modified Resistivity–Porosity Cross Plot Method to Identify Formation Fluid Types in Tight Sandstone with Variable Water Salinity

Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen

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Impact of a new geological modelling method on the enhancement of the CO₂ storage assessment of E sequence of Nam Vang field, offshore Vietnam