Day 3 Thu, March 28, 2019最新文献

{"title":"Evaluating Cement Integrity through Industry's First LWD Full Range Quantitative Cement Bond Index: A Game Changer in Deepwater Wells","authors":"Sachit Saumya, Juli Singh, Jitesh Vij, S. Sarkar, Bhaswati Das, P. Shedde","doi":"10.2523/IPTC-19357-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19357-MS","url":null,"abstract":"\u0000 Cementing forms an essential part of well construction as it supports the casing and provides hydraulic sealing. Wireline (WL) sonic tools have been providing the cement evaluation (CBL/VDL) for more than 50 years. Quantitative cement evaluation is becoming increasingly important in the industry to verify well integrity and zonal isolation. There has been a growing interest in providing cement bond quality quantitatively with LWD sonic tools owing to its plethora of benefits over wireline logging, such as rig time saving, tool conveyance, less tool eccentering effect and timelapse evaluation. However, there is also an LWD specific challenge that has for long hindered the ability to measure quantitative bond index i.e. drill collar contamination which limits the range of cement bond evaluation with the conventional amplitude-based approach. Deriving a characteristic correlation of attenuation measurement against the bond index was one of the key components to overcoming the limitation of amplitude-based. A new hybrid processing approach combining amplitude and attenuation was established for full-range cement bond evaluation. Schlumberger's LWD multipole sonic Cement Evaluation Service delivers the industry's first quantitative bond index answer product on LWD platform. The quantitative bond index becomes even more critical in offshore and deepwater markets.\u0000 This paper discusses, in brief, the technology and associated challenges in delivering industry's first quantitative bond index and showcases the result for one of the deepwater well. A subsequent comparison of LWD multipole sonic cement evaluation results with conventional WL CBL-VDL further corroborates the reliability of the result. The performance of the industry's first LWD bond index derived using LWD multipole sonic from around the globe has demonstrated that it can be expected to show abundant success in expanding the LWD utilization globally","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82748638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining the Power of IoT and Big Data to Unleash the Potential of Digital Oil Field","authors":"A. Al-Bar, H. Asfoor, Ahmad Goz, N. Ansari","doi":"10.2523/IPTC-19045-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19045-MS","url":null,"abstract":"\u0000 The objective of this paper is to demonstrate the process of unleashing the potential of digital oil fields by combining the power of Big Data platform with the Internet of Things (IoT). This new method enables efficient machine learning training utilizing Big Data and real-time scoring against mathematical models for predicting future outcomes.\u0000 Digital oil fields have a diverse set of IoT devices that measure important field metrics in real-time, such as downhole pressure, temperature and oil rate. A typical digital oil well is equipped with many equipment such as Multiphase Flow Meter, Electrical Submersible Pump, and Permanent Downhole Monitoring Systems. Those equipments have several sensors generating a huge volume of data every second.\u0000 In order to enable data scientists to analyze this huge amount of data streaming from various data sources, a data engineering pipeline was built. This pipeline combines data from various real-time and historical data repositories along with a master relational database in order to provide a consistent and clean analytics database for data scientists. This method saves data scientists the trouble of manually preparing and cleaning data from different datasets. Furthermore, by utilizing the analytics database cluster for machine learning, data scientists were able to use bigger data sets for training their models which can improve the accuracies of the models.\u0000 As part of the solution, a scoring engine was built which consumes real-time data feed from the digital oil fields and performs real-time predictions and scoring utilizing machine learning models.\u0000 The new architecture significantly improved the productivity of data scientists by allowing them to focus on building models and not to have to worry about data plumbing and deployment of the model to the field. Moreover by utilizing bigger data sets, models accuracies was improved considerably. Finally by integrating the models with IoT real-time data stream, field engineers can see and act on the models’ predictions in a timely manner.\u0000 This architecture and methodology combines different technology domains (IoT and Big Data) with unique solution to bring value to the Oil and Gas producing & production business function.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"5 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90243136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated Multi-Disciplinary Analysis on Flow Characteristics in Transition Zones: Case Studies in Offshore Malaysia","authors":"I. I. Marzuki, R. Masoudi, T. S. Murugesu, R. Ranjan, Dzulfadly B. Johare","doi":"10.2523/IPTC-19156-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19156-MS","url":null,"abstract":"\u0000 Transition zone (TZ) refers to a certain height above the Free Water Level (FWL) where both hydrocarbon and water could potentially flow together. The two phases flow is not the definite situation based on the actual fields’ performance observation and it is an ongoing common misunderstanding with broad level of subjectivities for years. Lack of relevant experimental data and the insufficient physical understanding of the characteristics of the transition zone makes the modeling of both 3D static and dynamics to be challenging, subjective and finally uncertain when it comes to predictive capability.\u0000 The recent studies by the team and this paper aim to illustrate that in the transition zone due to the relatively lower capillary force, oil has usually occupied the bigger pores compared to the intervals above the transition zone and hence the oil is more prone to move. Also, under enough drawdown and differential pressure level where it could be sensed by aquifer, water could also be fed by aquifer through the established water film by capillary. However, the water saturation in the transition zone will not be reduced through production compared to the initial water saturation. Hence, the relative permeability curves should be cautiously developed to represent the flow condition in the transition zone.\u0000 Three oil rim developments in Malaysia with established transition zone and enough production & relevant surveillance history have been selected for this study. There is evidence from actual production data on dry oil recovery from transition zone between one to two years after those wells were put into production. Depending on the standoff of bottom perforated interval with oil water contact (OWC), water production onset may vary with time. Some of the fields have been placed with several horizontal wells in tapping the oil within transition zone to maximize recovery.\u0000 This paper will discuss an integrated multi-disciplinary views on understanding the flow characteristics and dry oil production from transition zone. Understanding the capillary pressure, depletion and drawdown strategy together with well completion design as well as location in respect with height above Free Water Level (FWL) is crucial in successful monetization of the transition zone.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90245811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large Liquid Volume Deep Penetration Acidizing in Iraq Missan Oilfield - 3 Case Study","authors":"Jichao Gao, Puyong Feng, Da Wang, Shang Shao, Bo Cui, Gui Wang","doi":"10.2523/IPTC-19549-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19549-MS","url":null,"abstract":"\u0000 Matrix acidizing is widely used for removing damage of carbonate reservoirs. In 2017, more than 70 matrix stimulation operations have been conducted in Iraq Missan oilfield. However, for wells with no severe damage and low production performance which are influenced by formation energy decreasing, the effect of conventional matrix is limited. In order to stimulate these wells, a new acidizing technique has been developed which is called large liquid volume deep penetration acidizing.\u0000 According to the Darcy Productivity Equation, for carbonate reservoir, decreasing the skin factor below 0 would also increase production even if the skin factor is 0. That is the theoretical basis of large liquid volume deep penetration acidizing. The key points of this method are injection volume and acid system characters. Total injection volume is even twice as large as that of conventional matrix acidification. The acid system should have characteristics such as retarded acid-rock reaction rate and low leakoff coefficient. Viscoelastic surfactant based acid PA-VES and gelled acid PA-GL are used in these works.\u0000 In high permeability formation, the viscosity of PA-VES [20 wt% HCL and 8 wt% VES-1] reaches a peak of more than 400 cp at a shear rate of 170 S−1 at 120°C, which would drive acid flowing into tight formation. Other characteristics such as corrosion inhibition, surface tension, inter-surface tension, iron control and sludge prevention have been tested. Gelled acid is widely used because of its economic benefit, its rheology behavior is tested too. During injecting procedure, optimizing the injection rate and choosing large acid volume to produce long effective wormhole in formation, in this way the oil and gas seepage resistance are reduced, deep oil and gas reservoir area is connected, and oil production is improved. 3 wells have been stimulated using this technique in Missan oilfield which achieved the good results.\u0000 Large liquid volume deep penetration acidizing still belong to matrix acidizing because of non-fracturing formation. So that this method do not need a rig and would save cost. This paper introduces a novel method to stimulate low formation energy wells and low pollution wells, which is used in Iraq Missan oilfield for the first time.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83945698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Case Study for the First Successful Refracturing on Horizontal Well in Tight Volcanic Gas Reservoir in China","authors":"Wenjun Wang, Hongyan Guo, Youquan Huang, Ying Yu, Donggang Li, Qing-gang Li, Hongyu Sui","doi":"10.2523/IPTC-19559-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19559-MS","url":null,"abstract":"\u0000 This paper introduces the first successful refracturing example of horizontal well in a tight volcanic gas reservoir of Xushen gas field. The well was fractured and put into production in 2008, with the accumulated gas production of 0.64×108 m3. Due to the limited technical conditions of the horizontal well-stage fracturing process at that time, only four fracturing stages have been carried out. the horizontal section of the volcanic gas reservoirs with more than 600 meters of the well was not fractured, leaving a large potential for increasing production. In 2017, based on the fine research of gas reservoirs, the refracturing optimization design, multi-stage perforation, fracturing and commissioning integrated tubular completion and the diagnosis control of complex fractures in fracturing construction, the refracturing job of the well is implemented successfully with a good result.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87922564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining Dimensional Analysis and Neural Networks to Improve Flow Assurance Simulations","authors":"Ove Bratland","doi":"10.2523/IPTC-19146-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19146-MS","url":null,"abstract":"\u0000 When developing mathematical models for two- and three-phase flow in long pipelines, the most difficult challenge is to model the frictions, volume fractions and flow regimes accurately. This paper combines 3 different methods when confronting that problem: Dimensional analysis, mechanistic models, and Neural Networks (NN). It is shown that those methods supplement each other in important ways. The dimensional analysis is helpful in upscaling laboratory measurements to full-scale flowlines. In case of 3-phase gas oil water flow, the number of dimensionless groups turn out to be 14. NNs offer a way of correlating that many variables, and that allows the model to account for all dimensionless groups for all types of flow. That overcomes the limitations inherent in the more common practice of focusing on only a few parameters or dimensionless groups for each type of flow regime. But introducing NNs creates a new challenge: We need data to train them.\u0000 The last problem is partly dealt with by building on well-established mechanistic models with various factors inserted. It is those factors which are trained by the NNs, not the dependent dimensionless groups themselves. Using mechanistic models rather than a pure \"black box\" approach leads to much faster training and more accurate results. That has made it possible to train the NNs based on a more moderate and therefore realistic amount of data than would otherwise be required.\u0000 The novel approach has been used to develop new software. The FlowRegimeEngine, as it is called, is now incorporated in several steady-state and transient commercially available computer codes. At the end of this presentation results from one of them, FlowlinePro, have been compared to results from the well-established computer code OLGA. The results turned out to be very similar.\u0000 The presented dimensional analysis also provides an interesting way of testing commercial software by checking whether results are dimensionally consistent. When doing steady-state simulations with two or more different data sets, chosen so that they form the same independent non-dimensional groups, the resulting dependent dimensionless groups should come out identical. If they do not, it is reason to treat the results with suspicion. When applying the test to FlowlinePro and OLGA, they both passed it nicely for the data-sets chosen here.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"129 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79590598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment Technology of Brine Contamination and Barite Settlement for the High Temperature and High Density OBM for Ultra-Deep Well Drilling in Western China","authors":"Jianhua Wang, Lili Yan, Fengbao Liu, Haijun Yang, Da Yin, Xianguang Xu","doi":"10.2523/IPTC-19543-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19543-MS","url":null,"abstract":"\u0000 Due to the existence of extremely high temperature, high pressure thick evaporite bed and brine layer, Kuqa piedmont structure has been identified as one of the most complicated drilling regions in the world which locates in Tarim Basin of China. In Keshen Block the occurrence rate of high pressure brine invasion during the drilling progress is high up to 56%, and barite in OBM mud is easy to settle under high temperature and longtime static conditions. Therefore, brine invasion and barite settlement are serious challenges for ultra-deep wells drilling in Western China.\u0000 Increasing the density of mud is one method to deal with brine invasion during drilling, but lost circulation is easy to be caused. Another method is discharge the brine in batches to reduce the high pressure of brine layer, which requests the higher brine capacity of OBM. In this instance, a new emulsifier used in OBM was compounded to enhance the emulsifying efficiency through the increase the number of hydrophilic group on single emulsifier molecular structure. The experiment results indicated that the ability of OBM tolerance to brine contamination is higher than 60%.\u0000 The instrument for evaluating the sedimentation rate of OBM at high temperature (200°C) and high pressure (20MPa) has been developed. The experiment results indicated that increasing RM6 value could improve the stability of settlement.\u0000 Well KS1101 encountered lost circulation and high pressure brine layer in the same horizon, the safety density window of the drilling fluid is almost zero. Thus, the method of brine discharge in batches was used to reduce the brine layer pressure to ensure the drilling safety. A total of 1129.98m3 brine was discharged by 64 times of drainage and avoided the lost circulation. The rheology of OBM is stable, and the brine water capacity of the drilling fluid system is more than 45%. Throughout the drilling process, there was no downhole complex occurred. This OBM system has been wildly used in Keshen Block.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86168078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fracture Network Mapping Using Integrated Micro-Seismic Events Inverse with Rate-Transient Analysis","authors":"Wendong Wang, Zhang Kaijie, Yuliang Su, M. Tang, Qi Zhang, Guanglong Sheng","doi":"10.2523/IPTC-19445-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19445-MS","url":null,"abstract":"\u0000 In the development of shale oil and gas reservoir, hydraulic fracture treatments may induce complex network configuration, which is very challenging to characterize. The existing fracture properties interpretation methods mostly rely on simplifying assumptions and are typically empirical in nature. The aim of this work is therefore to introduce an integrated framework involving fractal theory, inverse analysis of micro-seismic events (MSE), and rate-transient analysis to map the heterogeneity and distribution of fracture properties. In this work, a general framework is proposed to characterize both the geometry configuration and the owing properties of the complex fracture network (CFN). The CFN characterization framework is naturally divided into two stages: characterize the fracture geometry network by microseismic data and characterize the fracture dynamic properties by production data. In the fracture configuration characterization stage, a stochastic fractal fracture model based on an L-system fractal geometry is applied to describe the CFN geometry. Moreover, the genetic algorithm (GA) as a mixed integer programming (MIP) algorithm are applied to find the most probable fracture configuration based on the microseismic data. As to the owing properties characterization stage, we introduced embedded discrete fracture model (EDFM) for the computational concern and a Bayesian framework is used to quantify these fracture dynamical properties e.g., conductivity, porosity and pressure dependent multiplier by assimilating the production data. In addition, rate-transient analysis is also applied to calibrate the total fracture length and estimate effective stimulated-reservoir volume (ESRV). In order to validate this framework, a synthetic numerical case is developed. The result indicates that our integrated framework is able to characterize both CFN configuration and properties by assimilating microseismic and production data sequentially. The proposed workflow shows that the characterized CFN model would yield reasonable probability predictions in unconventional production rate.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"861 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91457908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining History Matching Quality through Various Data Acquisition Campaign for a Major Waterflood Reservoir to Unleash Its Maximum Recovery Potential: A Case Study","authors":"I. Jamaludin, D. Mandal, D. Arsanti, Izyan Nadirah Dzulkifli, N. A. Zakaria, Salhizan Mohamad Salleh, Saiful Adli Ahmad Hawari, M. Azkah","doi":"10.2523/IPTC-19501-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19501-MS","url":null,"abstract":"\u0000 Data acquisition remains one of the crucial activities to be consistently executed throughout field life for any oilfield development. Significant operating expenditure (OPEX) is allocated each year to understand reservoir performance, thus reduce uncertainties and enable optimizations. This paper aims to highlight the issues faced during simulation model history matching (HM) process of a waterflood reservoir, including understanding of depositional environment and production data integrity. The output is utilized to improve recovery factor (RF) via infill opportunities and water injection optimization.\u0000 Field A has run a second shot of 3D seismic in 2006 (first in 1995) and processed into a time lapse, 4D seismic. In 2014, a cased hole logging campaign utilizing the high precision temperature, spectral noise logging (HPT-SNL) tool has been completed to check the integrity and flow contribution of 12 wells in Reservoir-X. Within the same period, a pulse pressure testing (PPT) was carried out to verify the communication between wells, in addition to acquiring regular surveillance data which helped to improve reservoir simulation study.\u0000 The 4D seismic helped to understand the areal waterflood front movement and explained the water cut trend anomaly in an updip well which experienced earlier water breakthrough than near downdip producers. Moreover, it helped to identify a bypass oil zone which can potentially be an infill location. As most of the wells are on dual string completion, the HPT-SNL campaign helped to improve production allocation of multi stacked reservoirs as well as identify problematic wells which required rectification jobs. The PPT assisted in identifying a baffle zone to explain the poor pressure support observed in some producers in the south from the nearby water injectors. All data interpretations were incorporated into final HM model which subsequently identified infill locations and the reservoir management plan (RMP) was successfully revised. An infill program was executed in 2015, which successfully secured additional EUR of ~9 MMstb. Based on the studies and outcome of the infill campaign water injection optimization helped to improve production and added ~2 MMstb reserves, through voidage replacement ratio (VRR) optimization and oil producer (OP) to water injector (WI) conversion. With these efforts, team could successfully project RF of >55%.\u0000 This case study demonstrates how acquiring focused surveillance data and their effective integration in performance analysis in simulation study helps to reduce uncertainties, unveils infill opportunities, improves production injection optimization and thus helps to improve the recovery factor in brown fields.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87073092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic Attribute Feasibility Study for Fault and Fracture Analysis and Integration with Spectral Decomposition: Application in Sarawak Basin","authors":"R. Hamidi, D. Ghosh","doi":"10.2523/IPTC-19544-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19544-MS","url":null,"abstract":"\u0000 Fault and fracture study has a great importance in hydrocarbon prospect exploration and development. Consequently, there have been lots of efforts to analyze the existence and extent of faults in subsurface layers using different methods and tools available to geoscientists; among which the seismic attributes have been proven to be efficient in detecting areas affected by faults and fractures. Seismic attributes help interpreters to highlight details focusing on the geological features of interest in seismic data. However, there are some limitations in the performance of these tools, as the algorithms are dependent on the seismic survey parameters, quality of the data and its existing patterns, and geology of the study area. Consequently, new strategies and algorithms are needed to improve the information obtained from the calculated attributes.\u0000 In this study, fault and fracture damage zone analysis is done on three – dimensional seismic data from Sarawak basin in Malaysia. Commonly used seismic attributes to detect such features including variance, dip – magnitude, curvature, and gradient – magnitude are applied. Next, spectral analysis, as a tool to identify events with different frequency content is used which can detect the patterns related to faulting and fracturing of the subsurface layers. The proposed method in this work is to examine the attributes’ performance on spectrally decomposed seismic cubes to unmask the details present at different frequencies. Accordingly, the seismic attributes are applied on the selected cubes, and the color blended cubes of the outputs are evaluated. As the results show, the new strategy reveals more detailed information that already exist in seismic data but cannot be distinguished because they are concealed in the full band seismic cube. Comparing each pair of conventional vs. spectral assisted attributes shows enhancement of the results (more details and better resolution) in all evaluated seismic attributes with the proposed method.","PeriodicalId":11267,"journal":{"name":"Day 3 Thu, March 28, 2019","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87295259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}