How Real-Time Sonic LWD Semblance Images can be Beneficial – A Case Study from Latin America
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Transcript of How Real-Time Sonic LWD Semblance Images can be Beneficial – A Case Study from Latin America
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Mohamed Diab, Rebecca Nye, Jose A Becerra, Weatherford, Victor G V Arrieta, Jose D C Damas, Guillermo G SanchPemex.
Copyright 2001, Acipet.
This paper was prepared for presentation at the ACIPET XV Congreso Colombiano del Petrleo held in Bogot D.C., Colombia, 20 -22 November 2013.
This paper was selected for presentation by an ACIPET Technical Committee following review of information contained in an abstract submitted by the author(s).
AbstractThe majority of operating companies use logging-while-
drilling (LWD) sonic data principally for the compressional
slowness measurement. Virtually all LWD sonic data requires
post-drilling processing, from the recorded waveforms or
semblance, in order to verify the accuracy of the
compressional slowness transmitted in real-time while drilling.
A new generation of LWD sonic tool is now capable of
providing acoustic semblance images in real time (RT). Thispaper will discuss the benefits of using sonic semblance image
in RT.
The technological advances in LWD services have directly
impacted reservoir evaluation and helped in providing useful
data for production planning on an RT basis. One of the
biggest challenges for LWD technology has been the limit in
RT data transmission rates, as opposed to wireline
transmission rates. A new data compression technique has
been developed to meet the challenges of transmitting
relatively large amount of data to surface while drilling,
specifically sonic data. This paper will discuss the data
compression techniques and demonstrate the reliability with a
case study from Latin America.The case study, from Mexico, demonstrates that high-
resolution, RT semblance images are achievable and that we
can have confidence in the results from RT applications of
sonic data, over traditional delta-t data acquisition.
Some operating companies have an outdated prospective
that RT LWD sonic data is unreliable and always requires
post-processing. However, through the new advances in RT
transmission, high-quality semblance images can be provided
in RT, and this advancement has created a step change in the
way operating companies use the data for analysis
planning.
IntroductionTwo main challenges have prevented LWD sonic tools f
being able to produce a reliable acoustic measurement in
or from waveforms stored in the memory. The first challe
was overcoming the drilling environment, which inclu
shocks, vibrations, and drilling noise. The second challewas the slow data transmission rates inherent with L
telemetry systems. LWD tools overcame the dril
environment challenge with strong robust tool desi
however, only recent progress has been made in a LWD s
tool that is capable compressing downhole sonic data
transmitting it to surface while drilling.
A new data compression technique has been develope
meet the challenges of transmitting relatively large amoun
data to surface while drilling, specifically sonic data.
Tool Design and ConfigurationEnhancing the mechanical design of the sonic LWD
helped in enhancing the acoustic measurement. The tool h
single, focused transmitter, and an array of six sensireceivers located on the same side of the tool as shown
Fig. 1. The transmitter overcomes the conventional probl
with sonic tools, which are ruggedness, directionality,
frequency. The wireline monopole transmitters typically h
a shape of a large ring that is tuned to a frequency between
and 20 KHz. This design is not very efficient in the L
world, and thus the new, focused unipole transmitter pro
helpful. With an output 50% higher than the wire
counterparts, the 6000 Pascal of pressure measured at
ASOCIACIN COLOMBIANA DE INGENIEROS DE PETRLEOS (ACIPET)
How Real-Time Sonic LWD Semblance Images can be Beneficial A Case Study froLatin America
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from the new LWD transmitter overcomes the noise sources
and allows clean slowness arrivals.
In between the transmitter and the receiver array lays the
attenuator section, and its function is to stop or reduce the
unwanted noise signal from reaching the receivers. Fig. 2
shows the different noise sources that the tool fights while
drilling in order to achieve a clean acoustic arrival at the
receivers. Bit noise or drilling noise is a major factor that
affects the acoustic signal, shown as blue bi-directional
arrows. The red arrows indicate the signal generated by the
transmitter that travels directly to the receivers through the
body of the sonic collar, it is named Tool Mode. The Tool
Mode noise is maximized due to the use of a drill collar in the
LWD world, compared to being minimized in the wireline
sonde housings. The good acoustic waves that travel from the
transmitter out to the formation and refract back to the
receivers are the green arrows in the diagram.
By design the receivers are more sensitive to these arrivals
that come perpendicular to the tool and not very sensitive to
the waves moving in the axial tool direction. Moreover, the
receivers are mounted in special pockets to isolate their bodies
from contacting the drill collar. The piezoelectric receiver
material has a high degree of directional sensitivity, which
facilitates filtering out the noise and enhancing the signal-to-noise ratio.
Data ProcessingThe chart shown in Fig. 3 summarizes how the sonic tool
processes the six waves coming from the tool receivers, and
turns them into a semblance image plotted versus depth while
the tool is logging in RT. The first step is filtering the received
acoustic waves by applying pre-programmed filters, then
calculating the coherence across the six waves. From this
chart, the downhole tool process can determine the slowness
of the arrivals, their time, and their coherence percent. These
three findings are then plotted in the coherence map, which is
considered a 3-axis chart, as the color intensity reflects the
coherence percent. The next step is projecting this chart on its
vertical axis, plotting the slowness against the coherence
percent, and therefore identifying easily the first and second
peak arrivals, the P-wave and the S-wave. The downhole tool
again turns these values to a semblance color intensity log, but
this time versus depth and this is the RT sonic semblance
image that is needed to be sent to the surface in order to have a
RT semblance image log.
The tool firmware algorithm compresses the downhole
semblance image to allow it to be transported via the mud
pulses up the drillstring to the surface while drilling. The
surface system computer then decompresses the sonic data and
plots the semblance image log as the bit is drilling. Fig. 4
shows the sonic semblance image in different stages startingfrom being processed and acquired by the LWD downhole
tool on the left track, and ending by the right-most track
showing the decompressed semblance image on surface.
Case Study Abkatun Pol Chuc Field, MexicoThe Abkatun Pol Chuc field is located on the continental shelf
in the Gulf of Mexico, within the territorial waters of Mexico.
The structure that houses the reservoir is located on the flank
of a salt diapir, which is related to both the mid-Cretaceous
and the Jurassic, more specifically the upper Kimmeridg
The mid-Cretaceous is predominantly made up of fractu
carbonates, overlain with micro-breccia. The Jura
Kimmeridgian facies is an oolitic carbonate, which
primarily on the banks and bank edges of the structure.
The Abkatun Pol Chuc field reserve estimate accu
bares a significant importance for the client, Pemex, as
field produces a third of Mexicos crude oil. Any errone
estimates can have detrimental economic effects on
country. Consequently, accuracy of the formation evalua
has a substantial importance. In the evaluation of the Abk
Pol Chuc field, the client required the most precise,
economical, way of acquiring the data needed to evaluate
reserves and design the development phase. The client
required highly accurate RT formation evaluation data
making critical decisions during the drilling phases.
Weatherford LWD Sonic Tool i n Abkatun Pol Chuc K
field. The vertical exploratory well sonic data proved v
promising. The RT sonic semblance image showed h
resolution sonic slowness arrivals.Fig. 5 shows a part of
RT log including the gamma ray, the resistivity curves,
the slowness track, together with the semblance track
shows the RT sonic data. Pemex geologists compared the
semblance image to the memory image, and the results prothat the sonic application in RT was very important. Fig. 6
comparison plot between the RT and the memory s
semblance image. The semblance image tracks labels sh
that the memory is on track 3 and the RT is on track 2.
sonic slowness arrivals were plotted on the same scale to fo
on the differences on track 1; however, there was
noticeable difference.
The KAA-1 well location on the west end of the reser
allowed the geologists to complete their earth models for
Abkatun Pol Chuc KAA field using the LWD data in RT.
memory data was delivered on the well site, confirming
RT reliability. This is a step change in the sonic logging
reliable data can save the operating company days of rig tiand allow faster decision making.
More applications are evolving for using the sonic dat
RT. Geomechanical analysis is a good example that Pem
decided to use by processing the sonic slowness arrivals w
the LWD density and getting Youngs Modulus, Poiss
Ratio, and brittleness index.
Processing centers are turning to be Real-Time Opera
Centers (RTOC) with less interaction with sonic petrophy
because more of the processing is shifting to RT in the field
ConclusionsThis field in Mexico was the start of a continuously evolv
work with RT sonic tools and using the new technology
shift from memory-only applications into RT service. direct results are eliminating processing time, getting to kn
more about the reservoir while drilling, and verifying the s
slowness arrivals by simply getting the entire sembla
image to the surface.
Technology leaps in LWD tools prove useful every da
every country. Sharing this knowledge between opera
companies is a way of building more bridges to achieve
utmost reservoir knowledge in the shortest period of time.
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AcknowledgmentsMany thanks to the Weatherford petrophysics and operations
department in Mexico and Latin America region for allowing
the use of this information, as well as the Weatherford global
team.
Thanks to Pemex for approval to publish the data, and the
continuous help in supporting new technology advance.
NomenclatureDTC delta time compressional slowness arrival
DTS delta time shear slowness arrivalLWD logging-while-drilling
RT real time
RM recorded memory
SEMP semblance projection image
References1. Talwani, Manik. 2011. The Future of Oil in Mexico Geol
Production Rates, and Reserves. Rice University, April.
2. Mickael, Medhat, Barnett, Craig, and Diab, Mohamed. 2Azimuthally Focused LWD Sonic Logging for Shear W
Anisotropy Measurement and Borehole Imaging. Paper
160133, SPE Annual Technical Conference and Exhibition,
Antonio, Texas, October 8-10.
3. Mejia, Miguel Camilo, Casanova, Mauricio. 2012. Integra
and Formation Evaluation and Geomechanical PropertieReal-Time for Horizontal Sections. Convocatoria Cong
Mexicano del Petroleo.
4. Nye, R. 2013. Benefits of Real-Time LWD Sonic SemblImagesCase Studies from the North Sea and Offshore Ch
Paper, Offshore Mediterranean Conference and Exhibi
Ravenna, Italy, 20-22 March.
5. PEMEX Exploration and Production. 1999. HydrocaReserves of Mexico. Volume 2.
6. Wyllie, M. R. J., Gregory, A. R., and Gardner, L. W. 1Elastic wave velocities in heterogeneous and porous me
Geophysics, 21, no. 1, 41-70.
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Fig. 1Configuration of the LWD sonic tool
Fig. 2need caption
Green uni-directional
arrows correspond to
the signal transmitted
into the formation.Blue bi-directional arrows
correspond to drilling-induced
noise that is reduced whilepassing through theattenuatorsection andis minimized at the
receivers.
Red uni-directional arrowscorrespond to tool-mode
waves travelling through the
body of the collar that are
reduced while passing
through the attenuator section
and are minimized at the
receivers.
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Fig. 3Downhole sonic processing technique
Fig. 4Far-left track shows the down-hole semblance image before compression, while the far-right track shows the decompressed
semblance image on surface
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Fig. 5RT LWD log with sonic semblance image
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Fig. 6A comparison between real-time LWD acoustic data and recorded LWD acoustic data from the KAA-1 well.