An integrated petrophysical and rock physics analysis to improve reservoir characterization of Cretaceous sand intervals in Middle Indus Basin, Pakistan

Azeem, Tahir; Chun, Wang; Monalisa, Monalisa; Khalid, Perveiz; Liu, Qing; Ehsan, Muhammad Irfan; Munawar, Muhammad Jawad; Xie, Wei

doi:10.1088/1742-2140/14/2/212

Cited by 46 publications

(28 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Wireline logs such as gamma ray (GR), spontaneous potential (SP), caliper (Cali), density (RHOB), Neutron porosity (NPHI), sonic (DT), shallow and deep resistivity logs (LLS and LLD) were displayed in different tracks as shown in Figure 5. On the basis of these logs, Azeem et al (2017) carried out a comprehensive study in order to identify the payable reservoir zones. Their analysis ( (Azeem et al, 2017).…”

Section: Petrophysical Analysismentioning

confidence: 99%

“…On the basis of these logs, Azeem et al (2017) carried out a comprehensive study in order to identify the payable reservoir zones. Their analysis ( (Azeem et al, 2017).…”

Section: Petrophysical Analysismentioning

confidence: 99%

“…However, when the objective is to find the accurate location, size, vertical and horizontal extent of the sweet zones then quantitative interpretative methods need to be applied (Huang et al, 2009;Wagner et al, 2012). Different types of quantita-tive methods and techniques such as seismic attributes, amplitude versus offset (AVO) analysis, neural network and rock physics models are used to analyze the seismic amplitudes anomalies (Avseth et al, 2005;Chi and Han, 2009;He et al, 2011;Khalid et al, 2014;Azeem et al, 2015Azeem et al, , 2017. Mostly these techniques provide very accurate results on the basis of 3D seismic data analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Integration of different kinds of data sets minimizes the uncertainty in prediction of rock properties, subtle stratigraphic traps and sweet zones in the target zone (Grijalba-Cuenca et al, 2000;Azeem et al, 2017;Ali et al, 2018). However, the integration of 2D seismic data and well log data sets requires more care when used for seismic reservoir characterization, as they are most likely subjected to errors (Jarvis, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sweetness analysis of Lower Goru sandstone intervals of the Cretaceous age, Sawan gas field, Pakistan

Azeem¹,

Chun²,

Khalid³

et al. 2018

Episodes

Self Cite

View full text Add to dashboard Cite

B and C sands of the Lower Goru Formation of Cretaceous are proven reservoirs in different parts of the Middle and Lower Indus Basin, Pakistan. Most of the discoveries in this basin have been made in structural traps. However, in Sawan gas field; structural inversion, deep burial depth and heterogeneity of reservoir intervals make it difficult to demarcate the sweetness zones through conventional seismic analysis. In this work, different data sets have been integrated through constrained sparse spike inversion to mark sweetness zones in B and C sands of this formation. C sand contains four sweetness zones; the main sweetness zone is located towards the east while three subtle sweetness zones were identified towards the west of Sawan fault. The location of producing and nonproducing wells within the sweetness and outside of sweetness zones confirms the credibility of this work. B sand includes three sweetness zones located towards the west of Sawan fault. Moreover, inverted porosity results not only show good agreement with the porosity log of blind well (Sawan-02) but also show good matching with the core porosities. Hence integration of different data sets leads to demarcate the accurate location, size and extent of the sweetness zones.

show abstract

Section: Petrophysical Analysismentioning

confidence: 99%

“…On the basis of these logs, Azeem et al (2017) carried out a comprehensive study in order to identify the payable reservoir zones. Their analysis ( (Azeem et al, 2017).…”

Section: Petrophysical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sweetness analysis of Lower Goru sandstone intervals of the Cretaceous age, Sawan gas field, Pakistan

Azeem¹,

Chun²,

Khalid³

et al. 2018

Episodes

Self Cite

View full text Add to dashboard Cite

show abstract

“…La disciplina de física de rocas provee el enlace necesario entre la sísmica y las propiedades del subsuelo, su integración con la petrofísica permite identificar las propiedades de rocas necesarias para construir un modelo del yacimiento [1,2,3], cuyo objetivo final es lograr representar con la menor incertidumbre posible lo que se encuentra en ellos, siendo necesario integrar todos los datos disponibles en su cuantificación. Sin embargo la información no siempre está disponible, como es el caso de los registros sónicos, esenciales para caracterizar un yacimiento a partir de las propiedades elásticas y acústicas de los pozos.…”

Section: Introductionunclassified

Modelo de física de rocas para la interpretación de propiedades petrofísicas de un campo en el Golfo de México

Boscan

Mendoza²

2020

Rev. Téc. Ing. Univ. Zulia.

View full text Add to dashboard Cite

Currently advances in seismic data interpretation have been observed, given the quantitative tendency to achieve the determination of reservoir properties. Impedance seismic volumes along with petrophysics allow the characterization of petrophysical properties of rocks for building a reservoir model. The objective of this research was to generate a rock physics model to be used as a liaison for the interpretation of petrophysical properties in terms of the elastic response of a field in the Gulf of Mexico. 7 wells were used, whose reserves are located within the Middle Pleistocene. Petrophysical evaluation was performed and a theoretical model of rock physics was developed in order to synthesize the density, compressional and shear sonic logs, being the self-consistent model, which best reproduced the elastic properties of the rocks in this study. Subsequently, through cross-diagram analysis, the relationships between the elastic properties (P and S impedance, Vp/Vs ratio) and rock properties (porosity, clay content, water saturation) were analyzed. The effect of fluid replacement in the elastic properties was modeled. It is conclude that the synthesized curves provide a better understanding of the influence of petrophysical variables on the elastic properties of the rock, the poroelastic model generated allows discrimination of lithologies present.

show abstract

Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands

Shakir

Ali

Hussain

et al. 2021

Pure Appl. Geophys.

View full text Add to dashboard Cite

An integrated petrophysical and rock physics analysis to improve reservoir characterization of Cretaceous sand intervals in Middle Indus Basin, Pakistan

Cited by 46 publications

References 50 publications

Sweetness analysis of Lower Goru sandstone intervals of the Cretaceous age, Sawan gas field, Pakistan

Sweetness analysis of Lower Goru sandstone intervals of the Cretaceous age, Sawan gas field, Pakistan

Modelo de física de rocas para la interpretación de propiedades petrofísicas de un campo en el Golfo de México

Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands

Contact Info

Product

Resources

About