ORCID Profile
0009-0009-7037-9283
Current Organisation
Research Institute of Petroleum Industry
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Publisher: Springer Science and Business Media LLC
Date: 12-04-2023
Publisher: Springer Science and Business Media LLC
Date: 14-08-2018
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4383216
Publisher: Portico
Date: 11-05-2017
Publisher: Society of Exploration Geophysicists
Date: 11-2008
DOI: 10.1190/1.2978165
Abstract: It is common practice to use changes in fluid transmission velocity to determine whether a fluid is in gas or liquid phase during pore pressure changes, but transmission litude also changes when fluid phase changes during pore pressure reduction. We used two sizes of glass beads in a low-pressure cell to simulate porous rock and conducted experiments with pore spaces filled with distilled water, and with distilled water in which [Formula: see text] of [Formula: see text] was dissolved. Ultrasonic transmission tests above and below bubble point showed that transmission frequencies and litudes were higher for distilled water and the smaller beads. There was a greater reduction in frequencies and litudes when gas was liberated by scattering from the small gas bubbles associated with the small beads. The water-[Formula: see text] mixture produced higher transmission litudes than distilled wateralone, which is consistent with increasing fluid density in the pores. Although Henry’s law was appropriate for predicting the onset of bubbles, the ultrasonic response sensed bubble nucleation before the pressure predicted by Henry’s law was reached. We also found that transmission litudes and frequencies changed more quickly than transmission velocity, which changed little by comparison. Our study suggests that for time-lapse monitoring of [Formula: see text] sequestration operations, changes of transmission litude and frequency may provide a quantitative assessment of the amount of dissolved [Formula: see text] in connate water. Observations of ultrasonic transmission litude and frequency are more important in this regard than velocity observations. This knowledge can be applied where [Formula: see text] migrates or changes phase after sequestration, be it at depth, or as a result of near-surface leakage. Walk-away VSP data can provide a suitable monitoring tool for this purpose.
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4355796
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4338299
Publisher: Research Square Platform LLC
Date: 18-01-2023
DOI: 10.21203/RS.3.RS-2433661/V4
Abstract: In seismic methods, pore pressure is estimated by converting seismic velocity into pore pressure and calibrating it with pressure results during the well-testing program. This study has been carried out using post-stack seismic data and sonic and density log data of 6 wells in one of the fields in SW Iran. While an optimum number of attributes is selected, the General regression (GRNN) provides higher accuracy than Back Propagation (BPNN) at the initial prediction stages. However, Acoustic Impedance (AI) is the most applicable seismic attribute used as root and reverses AI for estimating P-wave and density. Using a set of attributes can train the system to estimate the property. The correlation coefficient of actual and predicted P-wave using an AI seismic attribute has been calculated as 0.74 and the multi-attribute technique as 0.79. Also, density and three attributes reach from 0.57 to 0.60, which shows a better relationship between seismic attributes and density. After determining optimum layers with the principal components analysis (PCA), formation pressure was modeled with the feed forward-backpropagation (FFBP-ANN) method. Five information layers, including gamma, Vp, AI, density, and overburden pressure, have the most linear convergence with the initial pressure model and are used to modify the ANN model of effective pressure.
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 11-2023
Publisher: Research Square Platform LLC
Date: 28-07-2023
DOI: 10.21203/RS.3.RS-2433584/V6
Abstract: One of the essential geophysical concerns is the estimation of the physical and geometrical parameters of the reserve (geobody), which is done by exploiting the nonlinear inverse modeling of magnetic data. The present study includes preparing and modeling magnetic data to suggest drilling sites in the Baba Ali Iron ore deposit, NW Iran. The area is covered with 1000 points of geomagnetic reading with an almost 5×10 m 2 regularly spaces grid trending WE. The areal and depth extent of the iron ore geobody was unknown. The Bhattacharyya method by MATLAB software coding was used to minimize the misfit function and re-construct potential field data providing the best fit with measured magnetic data. In this order, the residual calculated anomaly exhibited an excellent two-dimensional conformation with forward modeling. Also, 3D modeling correctly reconstructs properties of the productive resources of anomalies. After preparing full magnetic maps, the magnetic lenses distinguished in four anomalies of surface depths, 20, 50, and deeper than 50 meters for this zone. This magnetite lens for the first zone was estimated based on analytical signal filters applied on the entire magnetic map so that the lens's depth is trivial and almost zero. Due to specific gravity calculated as 4.77 t/m 3 , initial storage capacity is suggested to be about 95,400 tons of magnetite, pyrite, and hematite minerals at most in an area about 6 Km 2 . Finally, to complete the preliminary explorations of the specified area, exploratory drilling is suggested for three points by inverse modeling. Regarding this study as the first try in magnetic reconnaissance step of Iron mineral exploration in the study area, there is no geological constraints available based on drilling evidences. However, the model is well satisfies the surface anomalies considering residual magnetic property.
Publisher: Elsevier BV
Date: 09-2015
Publisher: Springer Science and Business Media LLC
Date: 15-03-2023
DOI: 10.1007/S13202-023-01613-6
Abstract: Accurate knowledge of pore and fracture pressures is essential for drilling wells safely with the desired mud weight (MW). Overpressure occurs when the pore pressure is higher than the normal hydrostatic pressure. There is a challenge regarding the pressure studies domain in an oilfield in SW Iran, where lack of geo-mechanical data limits exact mud window calculation. Also, the reservoir generally consists of carbonate rocks and contains no shale interbeds, so mechanical stratigraphy based on Gamma ray could not be applied. This study is to provide safe drilling considering MW to prevent the flow or loss in the vicinity of the new wells in the studied field. In this research, the formation pressures and mud window models are determined by combining geostatistical, intelligent, and conditional programming models and compared with real data. The conditional programming was also used to correct small out-of-range data. The highest correlation between the final effective pressure and velocity cube was observed in lower Fahliyan Formation with 0.86 and Ilam with 0.71.The modeled MW difference ranged between 2.5 and 30 PCF. Also, the maximum modeled MW is 150 PCF in the upper Fahliyan Formation. Heavy mud of more than 130 PCF is suggested for drilling the Khalij member and continues to the end of stratigraphy column. Best observed correlation comparing the drilled and modeled MW, especially achieved in the Fahliyan reservoir Formation with more than 100 PCF and the Ilam Formation with 80–100 PCF. Finally, 3D formation pressures are presented and recommended for further safe drillings.
Publisher: EAGE Publications BV
Date: 2014
Publisher: Research Square Platform LLC
Date: 06-09-2023
Publisher: Elsevier BV
Date: 2022
DOI: 10.2139/SSRN.4316010
Publisher: Elsevier BV
Date: 12-2016
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4375770
Publisher: Springer Science and Business Media LLC
Date: 06-2016
Publisher: Springer Science and Business Media LLC
Date: 2020
Location: Iran (Islamic Republic of)
No related grants have been discovered for Nasser Keshavarz Faraj Khah.