Application of multi-wave and multi-component seismic data in the description on shallow-buried unconsolidated sand bodies: Example of block J of the Orinoco heavy oil belt in Venezuela

Huang, Wensong; Jiushuan, Wang; Chen, Heping; Yang, Jing; Wu, Junchang; Ma, Ning; Meng, Zheng; Jing, Ying; Xu, Fang; Ning, Bin; Zhang, Chaoqian

doi:10.1016/j.petrol.2021.108786

Cited by 6 publications

(3 citation statements)

References 44 publications

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“…At the same time, Eastern Malaysia was subjected to major Philippine and Indonesian earthquakes [3], [4]. Besides that, an offshore platform is a massive structure that is floating or fixed on the ocean, it is used to drill wells in the ocean bed, which extracts oil and natural gas [5], [6]. There are few types of offshore platforms: Fixed platform, Compliant tower, Sea star platform, Floating production system, Tension leg platform, Sub-Sea system, and SPAR platform.…”

Section: Introductionmentioning

confidence: 99%

Seismic Effect of the Offshore Structure Under Different Earthquake Loadings

Kee,

Cheok,

Kamarudin

et al. 2023

IJIE

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Peninsular Malaysia is most affected by the distant Sumatra subduction zone earthquake. Meanwhile, Eastern Malaysia was subjected to major Philippine and Indonesian earthquake. Most of the offshore platform is at Terengganu, Sabah, and Sarawak. More than 65% of the offshore platform structure exceed the range of design between 20-30 years. This research aims to determine the vulnerability and risk analysis for the existing 3-legged offshore platform under earthquake load, study the behaviors of an offshore platform under major or minor earth-quake loading, and study the dynamic characteristic of an offshore platform. SAP 2000 is use to analyses and modelling the 3-legged offshore platform. In SAP 2000, the response spectrum, time history, and free vibration will be performed. The mixed load of the platform consists of dead load, imposed load, environment loads, and earthquake load. The position of the offshore platform has referred to American Petroleum Institute (API) standard. The major earthquake under off-shore platform is El-Centro and the minor is Aceh compared to time history. Based on this study, Malaysia can withstand this low seismic activity, overall joint acceleration, velocity and displacement.

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Section: Introductionmentioning

confidence: 99%

Seismic Effect of the Offshore Structure Under Different Earthquake Loadings

Kee,

Cheok,

Kamarudin

et al. 2023

IJIE

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“…Unconsolidated sandstone reservoirs are widely distributed in oil‐producing regions globally (Ahmed et al, 2009; Bennion et al, 2006; Bian et al, 2012; Chuanzhi et al, 2014; Huang et al, 2021; Lu et al, 2019; Toelsie & Goerdajal, 2013) and are mainly distributed in tertiary strata. Unconsolidated sandstone reservoirs are usually buried at shallow depths (<1800 m) and generally only experience poor compaction and weak cementation in the early diagenetic stage.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of unconsolidated sandstone heavy oil reservoirs based on machine learning

et al. 2022

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Classification and evaluation of reservoirs conforming to geological characteristics are the proposed premises of the high‐quality development of unconsolidated sandstone heavy oil reservoirs. The P oilfield in Bohai Bay is one of the largest offshore oilfields in China, but the reservoirs are highly heterogeneous, have complex pore structures, and change fluid properties, which make the classification of reservoirs very difficult. At present, the most commonly used reservoir classification methods are based on the results of logging interpretation, which cannot eliminate the constraints of linear relationships such as empirical formulas. Machine learning has significant advantages for identifying reservoir classification problems that are complex and nonlinear with geological characteristics. First, this study fully considered the pore structure and fluid properties and selected four representative evaluation parameters. An improved K‐means method was used to establish a reservoir classification evaluation system. Characteristics, such as the sedimentary microfacies, pore structure and oilfield production performance, of different types of reservoirs were then analysed. Finally, six logging curves were selected as input results, reservoir classification was used as an output result, and XGBoost was used to carry out reservoir classification evaluation for the entire area. The accuracy of XGBoost was 85.35%. Furthermore, XGBoost was compared with three other machine learning methods to confirm its reliability. The results showed that the reservoirs in the study area can be divided into three types. Sandstone thickness and pore structure were the most important parameters that affected reservoir quality. Among various machine learning algorithms, XGBoost can accurately and quickly achieve a quantitative evaluation of reservoir quality.

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“…Although many consolidated reservoirs host oil and gas resources around the world, an increasing number of unconsolidated sandstone formations have been targeted for their significant amount of hydrocarbons, such as the Gulf of Mexico, , Athabasca (Canada), , Orinoco (Venezuela), , and Bohai Bay Basin of China . Nearly two-thirds of the world’s oil resources are found in unconsolidated sandstone, which has the characteristics of shallow depth, low strength, and easy sanding. − One of the most serious problems in the production of oil and gas wells is the large amount of water produced during production.…”

Section: Introductionmentioning

confidence: 99%

Study on the Water Blocking Capacity and Influencing Factors of Hydrophobic Gravel Beds

et al. 2021

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Excess water production is a common and extremely serious problem during the process of reservoir development, especially in the middle and later stages of unconsolidated sandstone reservoirs. High water content ratios will negatively affect the recovery efficiency and equipment safety of oil and gas wells. In this study, a hydrophobic quartz sand proppant was prepared with 1,1,1,3,3, 3-hexamethyldisilazane (HMDS) for gravel packing technology. The capillary resistance of hydrophobic quartz sand beds to water was used to achieve water inhibition and oil enhancement. Then, a theoretical capillary bundle model of a quartz sand bed was developed to predict the capillary resistance and water blocking capacity of the quartz sand bed. An evaluation of the experiment results shows that the activation index is up to 96% and the water contact angle is up to 151° after treatment by 0.6 wt % HMDS, which indicates that the quartz sand after modification has strong hydrophobicity. The calculation results demonstrate that the capillary resistance (CR) and the water blocking capacity (WBC) decrease with increasing quartz sand particle size and porosity of the quartz sand bed. As the water contact angle increases, the CR and WBC are also increased. In addition, to make the WBC of hydrophobic quartz sand bed δ > 20%, the parameters of the quartz sand bed must be satisfied: particle size d g < 50 μm, porosity ϕ < 30%, water contact angle θ > 150°, and production pressure difference Δ p < 1 MPa. The results of this study could provide theoretical guidance for the construction parameters of hydrophobic gravel packing in high water-cut oil and gas fields.

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Application of multi-wave and multi-component seismic data in the description on shallow-buried unconsolidated sand bodies: Example of block J of the Orinoco heavy oil belt in Venezuela

Cited by 6 publications

References 44 publications

Seismic Effect of the Offshore Structure Under Different Earthquake Loadings

Seismic Effect of the Offshore Structure Under Different Earthquake Loadings

Quantitative evaluation of unconsolidated sandstone heavy oil reservoirs based on machine learning

Study on the Water Blocking Capacity and Influencing Factors of Hydrophobic Gravel Beds

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