Reservoir modeling

Applications of Big Data

Published in Jay Gohil, Manan Shah, Application of Big Data in Petroleum Streams, 2022

On a side note, a reservoir modelling or simulation consists of three main parts: a geological model (which describes given porous rock formation), a flow model (which describes the flow of fluids through the porous medium) and a well model (which describes the flow in and out of the reservoir) [17]. The model’s workflow goes from defining of objective to final reporting (portrayed in detail in Figure 5.2 [13,24]), and helps in optimization of development plans for new fields as well as provides assistance with operational & investment decision-making process(es).

Sandstone reservoir modeling based on rock physics characterization for hydrocarbon resource potential in Southern Pakistan

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Journal Information

Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020

Muhammad Rizwan Mughal, Gulraiz Akhter

Geo-statistics in combination with extracted attributes from seismic data can significantly predict reservoir lithology, hydrocarbon potential, and reservoir properties such as porosity (Hampson, Schuelke, and Quirein 2001). The porosity prediction and estimation is very essential in reservoir modeling for hydrocarbon exploration and planning production operations. The wireline log measurements made at sparsely located wells cannot predict lateral extent of porosity. The integration of petrophysical estimations from wells with 3D seismic data can effectively predict the spatial distribution of porosity in the area. Several case studies in literature have predicted the petrophysical properties of reservoir using statistical regression analysis (e.g., Leite and Vidal 2011; Naeem et al. 2015).

Reservoir modeling

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Applications of Big Data

Sandstone reservoir modeling based on rock physics characterization for hydrocarbon resource potential in Southern Pakistan