scholarly journals Rock physics model to determine the geophysical pore-type characterization and geological implication in carbonate reservoir rock

Author(s):  
Handoyo ◽  
Fatkhan ◽  
Harnanti Yogaputri Hutami ◽  
Rizki Sudarsana
IEEE Access ◽  
2017 ◽  
pp. 1-1 ◽  
Author(s):  
Yaping Huang ◽  
Mingdi Wei ◽  
Reza Malekian ◽  
Xiaopeng Zhen

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. M71-M82 ◽  
Author(s):  
Yanjun Hao ◽  
Dinghui Yang ◽  
Yanjie Zhou

[Formula: see text] capture and sequestration is a promising approach to reduce carbon emission and mitigate the greenhouse effect. We have developed a methodology combining reservoir simulation, rock-physics theory, and seismic modeling to simulate the [Formula: see text] sequestration and monitoring process, based on an idealized geologic model of the Sleipner field. First, we simulated a constant-rate [Formula: see text] injection into the idealized geologic model to study the basics of the two-phase flow involved in [Formula: see text] sequestration. The main features of the [Formula: see text] plume evolution and pressure build-up are captured in the simulation results. In any [Formula: see text] sequestration project, an important part is monitoring [Formula: see text] distribution using seismic methods. The seismic response of the injected [Formula: see text] is controlled by its effect on elastic properties of the reservoir rock. We built a rock-physics model to assess the effect of [Formula: see text] on wave properties. For unconsolidated sand, a sensitivity study found that [Formula: see text] saturation and effective pressure can strongly affect wave properties. Based on the reservoir simulation results and the rock-physics model, seismic modeling is performed at different stages of the injection using the symplectic stereomodeling method. The synthetic seismograms found that the seismic responses of the reservoir are strongly affected by the saturation and pressure change induced by the injection of [Formula: see text], and the seismic response of [Formula: see text] is strong enough to be resolved from seismic data.


2015 ◽  
Vol 3 (2) ◽  
pp. SM23-SM35
Author(s):  
Russell W. Carter ◽  
Kyle T. Spikes

Large-scale subsurface injection of [Formula: see text] has the potential to reduce emissions of atmospheric [Formula: see text] and improve oil recovery. Studying the effects of injected [Formula: see text] on the elastic properties of the saturated reservoir rock can help to improve long-term monitoring effectiveness and accuracy at locations undergoing [Formula: see text] injection. We used two vintages of existing 3D surface seismic data and well logs to probabilistically invert for the [Formula: see text] saturation and porosity at the Cranfield reservoir using a double-difference approach. The first step of this work was to calibrate the rock-physics model to the well-log data. Next, the baseline and time-lapse seismic data sets were inverted for acoustic impedance [Formula: see text] using a high-resolution basis pursuit inversion technique. The reservoir porosity was derived statistically from the rock-physics model based on the [Formula: see text] estimates inverted from the baseline survey. The porosity estimates were used in the double-difference routine as the fixed initial model from which [Formula: see text] saturation was then estimated from the time-lapse [Formula: see text] data. Porosity was assumed to remain constant between survey vintages; therefore, the changes between the baseline and time-lapse [Formula: see text] data may be inverted for [Formula: see text] saturation from the injection activities using the calibrated rock-physics model. Comparisons of inverted and measured porosity from well logs indicated quite accurate results. Estimates of [Formula: see text] saturation found less accuracy than the porosity estimates.


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